Yannick DEVILLE: list of publications + files /
liste de publications + fichiers
Comments about problems when downloading/printing these files and requests for other files should be sent to Yannick Deville: see
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Authored books / Livres d'auteur
Y. Deville,
"Traitement du signal :
signaux temporels et spatiotemporels -
Analyse des signaux, théorie de l'information, traitement d'antenne, séparation aveugle de sources",
Ellipses Editions Marketing,
Paris,
2011,
312 pages,
ISBN 978-2-7298-7079-9.
Informations complémentaires sur ce livre :
- page web de l'éditeur Ellipses relative à
ce livre :
cliquer ici
- couverture du livre :
- description du livre par l'éditeur Ellipses (4e de couverture) :
cliquer ici
- extrait du livre : avant-propos :
cliquer ici
- extrait du livre : table des matières :
cliquer ici
- extrait du livre (fourni par l'éditeur Ellipses) : Chapitre 1 et début de Chapitre 2 :
cliquer ici
- extrait du livre : index :
cliquer ici
- mots-clés :
livre traitement du signal,
livre théorie de l'information (introduction),
livre traitement d'antenne (bases),
livre séparation aveugle de sources (bases)
Y. Deville,
L. T. Duarte, S. Hosseini,
"Nonlinear blind source separation
and blind mixture identification.
Methods for bilinear, linear-quadratic and
polynomial mixtures",
SpringerBriefs in Electrical and Computer Engineering,
Springer Nature,
2021.
DOI: 10.1007/978-3-030-64977-7
Additional information about this book:
- Springer Nature editor's web page about this book:
click here
- cover page:
- description of this book provided by the editor:
click here
Books chapters / Chapitres de livres
Y. Deville,
Chapitre 13. Applications des méthodes de séparation aveugle de sources,
chapitre du Tome 2 (intitulé "au-delà de l'aveugle et
applications") du livre multi-auteurs "Séparation de sources",
sous la direction de C. Jutten et P. Comon,
collection "Traité IC2, Information - Commande -Communication",
Hermès - Lavoisier,
Paris,
2007.
Y. Deville,
C. Jutten, R. Vigario,
Chapter 16. Overview of source separation applications,
pp. 639-681,
in "Handbook of blind source separation. Independent component
analysis and applications",
P. Comon and C. Jutten Eds.,
Academic Press,
Oxford, UK,
2010.
E. Vincent,
Y. Deville,
Chapter 19. Audio applications,
pp. 779-819,
in "Handbook of blind source separation. Independent component
analysis and applications",
P. Comon and C. Jutten Eds.,
Academic Press,
Oxford, UK,
2010.
Y. Deville,
A. Deville,
"Chapter 5.
A quantum/classical-processing
signal
separation
method
for
two qubits
with
cylindrical-symmetry
Heisenberg
coupling"
(invited chapter),
pp. 145-170,
in
"Information Theory: New Research",
ISBN: 978-1-62100-325-0,
P. Deloumeaux and J.D. Gorzalka Eds,
Nova Science Publishers,
Hauppauge,
NY,
USA,
2012.
M. S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri,
"Chapter 8. Blind unmixing of hyperspectral data with some pure pixels:
spatial variance-based methods exploiting
sparsity and non-negativity properties"
(invited chapter: Y. Deville invited by G. Naik),
pp. 161-182,
in
"Signal Processing: New Research",
ISBN: 978-1-62808-141-1,
G. R. Naik Ed,
Nova Science Publishers,
New York,
USA, 2013.
Y. Deville,
"Chapter 10. Extension of a cumulant-based ICA method to underdetermined mixtures
and separability analysis"
(invited chapter),
pp. 211-230,
in
"Signal Processing: New Research",
ISBN: 978-1-62808-141-1,
G. R. Naik Ed,
Nova Science Publishers,
New York,
USA, 2013.
Y. Deville,
A. Deville,
"Chapter 1.
Quantum-source
independent component analysis and related statistical blind qubit uncoupling methods"
(invited chapter),
in
"Blind Source Separation: Advances in Theory,
Algorithms and Applications",
G. R. Naik and W. Wang Eds,
pp. 3-37,
Springer, Berlin,
Germany, 2014.
Y. Deville,
"Chapter 6.
Sparse component analysis:
a general framework for
linear and nonlinear blind
source separation and mixture identification"
(invited chapter),
in
"Blind Source Separation: Advances in Theory,
Algorithms and Applications",
G. R. Naik and W. Wang Eds,
pp. 151-196,
Springer, Berlin,
Germany, 2014.
I. Meganem, S. Hosseini,
Y. Deville,
"Separation of stellar spectra based on non-negativity
and parametric modelling of mixing operator"
(invited chapter),
in "Non-negative Matrix Factorization Techniques: Advances in Theory and
Applications",
pp. 133-159,
G. Naik Ed,
Springer-Verlag Berlin Heidelberg,
2016.
Y. Deville,
"Blind source separation and blind mixture identification methods"
(invited chapter),
Wiley Encyclopedia of Electrical and Electronics Engineering,
pp. 1-33,
J. Webster (ed.),
Wiley,
2016.
DOI: 10.1002/047134608X.W8300
Wiley on-line version: abstract and full article,
excerpt from author's final version
To get a free, complete, private, copy of the official published version and/or of the author's final
version of this chapter, please contact
the author:
contact information
Comments: this
chapter contains:
an introduction to blind source separation,
a survey of blind source separation methods
with somme applications,
an introduction to blind mixture identification,
a survey of blind mixture identification methods with somme applications,
a short introduction to blind quantum source separation and
a short introduction to blind quantum process tomography, i.e.
two fields within the quantum information processing domain.
The considered classes of methods (MIMO and MISO) include:
independent component analysis
(use of second-order statistics, higher-order statistics / moments and
cumulants, information theory, likelihood), sparse component analysis
(e.g. in time-frequency domain),
nonnegative matrix factorization, Bayesian approaches, geometrical methods,
nonnegative ICA.
The considered classes of mixtures include
linear instantaneous (e.g. for communications, biomedical data, remote sensing),
anechoic, convolutive (e.g. for
audio), nonlinear, linear-quadratic (e.g. for remote sensing
in urban context),
bilinear, post-nonlinear mixtures and Heisenberg quantum coupling.
Y. Deville,
C. Revel, V. Achard, X. Briottet,
"Application and extension of PCA concepts to blind unmixing
of hyperspectral data with intra-class variability",
(invited) chapter
in
"Advances in Principal Component Analysis - Research and Development",
pp 225-252,
G. R. Naik (ed), Springer,
Singapore, 2018.
DOI:
https://doi.org/10.1007/978-981-10-6704-4_9
A. Deville,
Y. Deville,
"Concepts and criteria for blind quantum source
separation and blind quantum process tomography",
Chapter in book
"Quantum Information and Foundations",
pp. 477-495,
G. M. D'Ariano and P. Perinotti
(ed.),
Printed Edition of the Special Issue Published in Entropy,
MDPI, Basel,
2020.
Official on-line open access version of book,
authors'
copy of pdf file of official on-line open access version of book.
Book editor (conference proceedings) / Editeur de livre (actes de conférence)
Y. Deville,
S. Gannot, R. Masson, M. D. Plumbley, D. Ward (Eds.),
Proceedings of the
14th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2018),
Springer International Publishing AG,
part of Springer Nature 2018,
LNCS 10891,
Guildford, UK,
July 2-5, 2018.
Editor's web page
Publications in international journals / Publications dans des revues internationales
Y. Deville,
High-frequency and high-Q tunable active filters,
IEEE Transactions on Circuits and Systems, vol. CAS-36, no. 8, pp. 1128-1133, Aug. 1989.
author's copy of IEEE-published version
(Copyright IEEE)
Y. Deville,
A high-selectivity continuous-time GaAs balanced filter,
IEEE Journal of Solid-State Circuits, vol. SC-25, no. 3, pp. 889-892, June 1990.
author's copy of IEEE-published version
(Copyright IEEE)
Y. Deville,
GaAs active structures with applications to microwave wideband 90-degree phase shifters and bandstop filters,
International Journal of Electronics, vol. 70, no. 1, pp. 201-211, Jan. 1991.
Y. Deville,
GaAs integrated RC active filters with high-selectivity bandpass and low-selectivity bandstop responses,
International Journal of Electronics, vol. 70, no. 2, pp. 377-387, Feb. 1991.
Y. Deville,
A low-cost usage-based replacement algorithm for cache memories,
ACM Computer Architecture News, vol. 18, no. 4, pp. 52-58, Dec. 1990.
Y. Deville, J. Gobert,
A class of replacement policies for medium and high-associativity structures,
ACM Computer Architecture News, vol. 20, no. 1, pp. 55-64, March 1992.
Y. Deville,
A process-dependent partitioning strategy for cache memories,
ACM Computer Architecture News, vol. 21, no. 1, pp. 26-33, March 1993.
Y. Deville,
A neural implementation of complex activation functions for digital VLSI neural networks,
Microelectronics Journal, vol. 24, no. 3, pp. 259-262, May 1993.
Y. Deville,
Digital neural networks for high-speed divisions and root extractions,
International Journal of Neural Systems, vol. 4, no. 1, pp. 81-94, 1993.
Y. Deville,
Optimum piecewise-linear transcoders - Part 1. Weighted minimax
piecewise-linear approximation and minimax decomposition of piecewise
functions,
International Journal of Electronics, vol. 77, no. 6, pp. 823-844, Dec. 1994.
author's copy of official version.
Y. Deville,
Optimum piecewise-linear transcoders - Part 2. Application to automatic TV tuner alignment and to electronic tuning,
International Journal of Electronics, vol. 77, no. 6, pp. 845-862, Dec. 1994.
author's copy of official version.
Y. Deville,
An Automatic TV Tuner Alignment System,
IEEE Transactions on Consumer Electronics, vol. 41, no. 4, pp. 1050-1060, Nov. 1995.
author's copy of IEEE-published version
(Copyright IEEE)
Y. Deville,
A unified stability analysis of the Hérault-Jutten source separation neural network,
Signal Processing, vol. 51, no. 3, pp. 229-233, June 1996.
author's final version
(Copyright Elsevier)
Y. Deville, L. Andry,
Application of blind source separation techniques to multi-tag contactless identification systems,
IEICE Transactions on Fundamentals of Electronics, Communications and
Computer Sciences, vol. E79-A, no. 10, pp. 1694-1699,
Oct. 96.
authors' final version
(Copyright Oxford University Press)
Comments : this paper esp. concerns
Radio Frequency Identification (RFID).
N. Charkani, Y. Deville,
Self-adaptive separation of convolutively mixed signals with a
recursive structure. Part I : stability analysis and optimization
of asymptotic behaviour,
Signal Processing, vol. 73, no. 3, pp. 225-254, 1999.
authors' final version
(Copyright Elsevier)
N. Charkani, Y. Deville,
Self-adaptive separation of convolutively mixed signals with a
recursive structure. Part II : Theoretical extensions and
application to synthetic and real signals,
Signal Processing, vol. 75, no. 2, pp. 117-140, 1999.
authors' final version
(Copyright Elsevier)
Y. Deville,
Analysis of the convergence properties of self-normalized source separation neural networks,
IEEE Transactions on Signal Processing, vol. 47, no. 5, pp. 1272-1287, May 1999.
author's copy of IEEE-published version
(Copyright IEEE)
Y. Deville, S. Roblin,
A feature extraction method for convolutively mixed signals, with applications to power estimation,
Applied Signal Processing, vol. 6, no. 1, pp. 2-12, 1999.
authors' final version
Y. Deville, O. Albu, N. Charkani,
New self-normalized blind source separation networks for instantaneous and convolutive mixtures,
International Journal of Adaptive Control and Signal Processing, vol. 16, pp. 753-761, 2002.
authors' final version
(Copyright Wiley)
Y. Deville, J. Damour, N. Charkani,
Multi-tag radio-frequency identification systems based on new blind source separation neural networks,
Neurocomputing, vol. 49, pp. 369-388, 2002.
authors' final version
(Copyright Elsevier)
Comments : this paper esp. concerns
Radio Frequency Identification (RFID).
Y. Deville, M. Benali, F. Abrard,
Differential source separation for underdetermined instantaneous or convolutive mixtures : concept and algorithms,
Signal Processing, vol. 84, issue 10, pp. 1759-1776, Oct. 2004.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Comments : this paper esp. concerns
(i)
differential
source separation, esp. using second-order statistics,
(ii) underdetermined mixtures,
(iii) convolutive mixtures.
F. Abrard, Y. Deville,
A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources,
Signal Processing, vol. 85, issue 7, pp. 1389-1403, July 2005.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Comments : this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TEMPROM and TIFROM methods (more precisely, LI-TEMPROM and
LI-TIFROM, for Linear Instantaneous mixtures ; the name "TEMPROM" is not explicitly
used in this paper, but our TEMPoral method is described),
(iii) underdetermined mixtures.
M. Puigt, Y. Deville,
Time-frequency ratio-based blind separation methods for attenuated
and time-delayed sources,
Mechanical Systems and Signal Processing,
vol. 19,
pp. 1348-1379,
2005.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Comments : this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TIFROM method (more precisely,
AD-TIFROM, for Attenuated and Delayed mixtures,
including two versions, i.e. AD-TIFROM-CT and AD-TIFROM-CF ;
the corresponding TEMPoral method, i.e. AD-TEMPROM, is not described
explicitly
in this paper, but is straightforwardly derived from AD-TIFROM),
(iii) underdetermined mixtures.
J. Thomas, Y. Deville, S. Hosseini,
Time-domain fast fixed-point algorithms for convolutive ICA,
IEEE Signal Processing Letters, vol. 13, no. 4, pp. 228-231,
April 2006.
authors' copy of
IEEE-published version
(Copyright
IEEE)
Comments (about convolutive FastICA) :
this paper describes our FastICA-like algorithm for convolutive
mixtures, that we derived by extending
the classical FastICA method which is intended for linear instantaneous
mixtures.
Y. Deville,
M. Puigt,
Temporal and time-frequency correlation-based blind source separation
methods. Part I : determined and underdetermined
linear instantaneous mixtures,
Signal Processing,
vol. 87, no. 3, pp. 374-407,
March 2007.
Elsevier on-line version,
authors' final version
(Copyright
Elsevier)
Comments : this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TEMPCORR and TIFCORR methods (more precisely, LI-TEMPCORR and
LI-TIFCORR, for Linear Instantaneous mixtures),
(iii) underdetermined mixtures.
H. Saylani, S. Hosseini, Y. Deville, M. Habibi,
A multi-tag radio-frequency identification system using
new blind source separation methods based on spectral decorrelation
/
Système d'identification radio-fréquence multi-badge utilisant de
nouvelles méthodes de séparation aveugle de sources à décorrélation spectrale,
(abstract and keywords in English and French, text in French),
Physical and Chemical News, vol. 35, pp. 31 - 42,
May 2007.
authors' copy of
published version
Comments : this paper esp. concerns
Radio Frequency Identification (RFID).
J. Thomas, Y. Deville, S. Hosseini,
Differential fast fixed-point algorithms for underdetermined
instantaneous and convolutive partial blind source separation,
IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3717 - 3729,
July 2007.
authors' copy of
IEEE-published version
(Copyright
IEEE)
Comments (about underdetermined and/or convolutive FastICA) :
this paper describes our differential FastICA-like algorithms for
linear instantaneous and convolutive
underdetermined mixtures.
O. Berné, C. Joblin,
Y. Deville,
J.D. Smith, M. Rapacioli,
J.P. Bernard, J. Thomas, W. Reach, A. Abergel,
Analysis of the emission of very small dust particles from Spitzer
spectro-imagery data using Blind Signal Separation methods,
Astronomy and Astrophysics,
469, pp. 575-586, 2007.
free-access version,
editor's version
(Astronomy and Astrophysics)
O. Berné, C. Joblin, M. Rapacioli, J. Thomas, J.-C. Cuillandre,
Y. Deville,
Extended Red Emission and the evolution of carbonaceous nanograins in
NGC 7023,
Astronomy and Astrophysics,
479, pp. L41-L44, 2008.
free-access version,
editor's version
(Astronomy and Astrophysics)
F. Abrard,
Y. Deville,
J. Thomas,
Blind partial
separation of underdetermined convolutive mixtures of complex sources
based on differential normalized kurtosis,
Neurocomputing,
no. 71, pp. 2071-2086,
2008.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
J. Thomas,
Y. Deville,
S. Hosseini,
Fast blind separation of long mixture recordings using multivariate polynomial identification,
IEEE Transactions on Signal Processing,
vol. 56, no. 11, pp. 5704-5709, Nov. 2008.
authors' copy of
IEEE-published version
(Copyright
IEEE)
Comments (about underdetermined and/or accelerated FastICA) :
this paper describes our accelerated versions of (i) the
FastICA algorithm for (over)determined linear instantaneous
mixtures,
and (ii) our extension of FastICA for
underdetermined mixtures based on our
differential source separation concept.
Y. Deville,
S. Hosseini,
Recurrent networks for separating extractable-target
nonlinear mixtures. Part I : non-blind configurations,
Signal Processing,
vol. 89, no. 4, pp. 378-393, April 2009.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
S. Hosseini,
Y. Deville,
H. Saylani,
Blind separation of linear instantaneous mixtures of non-stationary signals
in the frequency domain,
Signal Processing,
vol. 89, no. 5, pp. 819-830, May 2009.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
R. Guidara, S. Hosseini,
Y. Deville,
Blind Separation of nonstationary Markovian sources using an equivariant Newton-Raphson algorithm,
IEEE Signal Processing Letters,
vol. 16, no. 5, pp. 426-429, May 2009.
authors' copy of
IEEE-published version
(Copyright IEEE)
Comments :
see also
"Non-stationary Markovian blind source separation. Solving estimating
equations using an equivariant Newton-Raphson algorithm" at
online technical report, 2008.
R. Guidara, S. Hosseini,
Y. Deville,
"Maximum Likelihood Blind Image Separation Using Non-Symmetrical Half-Plane Markov Random Fields",
IEEE Transactions on Image processing,
vol. 18, no. 11, pp. 2435-2450, Nov. 2009.
authors' copy of
IEEE-published version
(Copyright IEEE)
Z.
Koldovsky, J. Malek, P.
Tichavsky,
Y. Deville,
S. Hosseini,
"Blind separation of
piecewise stationary Non-Gaussian sources",
Signal Processing,
vol. 89, issue 12,
pp. 2570-2584,
Dec. 2009.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Y. Deville,
S. Hosseini, A. Deville,
"Effect of indirect dependencies on maximum likelihood and information
theoretic blind source separation for nonlinear mixtures",
Signal Processing,
vol. 91, issue 4, pp. 793-800, April 2011.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Y. Deville,
"ICA-based and second-order separability of nonlinear models
involving reference signals : general properties and application to
quantum bits"
(invited paper), Signal Processing,
vol. 92,
issue 8,
pp. 1785-1795,
August
2012.
Elsevier on-line version,
author's final version
(Copyright Elsevier)
M. S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri,
"Blind spatial unmixing of multispectral images : New methods combining
sparse component analysis, clustering and non-negativity constraints",
Pattern Recognition,
vol. 45,
pp. 4263-4278,
2012.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
Y. Deville,
A. Deville,
"Classical-processing and quantum-processing signal separation methods for
qubit uncoupling",
Quantum Information Processing,
vol. 11, no. 6, pp. 1311-1347, 2012.
Springer on-line version,
authors' final version
(Copyright Springer)
Comments : this paper concerns
(i) blind source/signal separation and independent component analysis,
and (ii) quantum information processing,
qubits, quantum pure states, spin coupling...
We thus introduce the
"Blind quantum source separation" field, i.e.
this is the first journal
paper (following our conference papers)
ever published on this topic, to our knowledge.
A. Deville,
Y. Deville,
"Clarifying the link between von Neumann and thermodynamic entropies",
The European Physical Journal H,
vol. 38, no. 1, pp. 57-81, Jan. 2013.
EPJ on-line version,
authors' final version
(Copyright EPJ)
S. Hosseini,
Y. Deville,
"Recurrent networks for separating extractable-target
nonlinear mixtures. Part II : blind configurations",
Signal Processing ,
vol. 93,
issue 4,
pp. 671-683,
April 2013.
Elsevier on-line version,
authors' final version
(Copyright Elsevier)
I. Meganem, P. Déliot, X. Briottet,
Y. Deville,
S. Hosseini,
"Linear-quadratic mixing model for reflectances in urban
environments",
IEEE Transactions on Geoscience and Remote Sensing,
vol. 52, no. 1, pp. 544-558, Jan. 2014.
IEEE on-line version,
authors' almost final version
(Copyright IEEE)
I. Meganem,
Y. Deville,
S. Hosseini, P. Déliot, X. Briottet,
"Linear-quadratic blind source separation Using NMF to
unmix urban hyperspectral images",
IEEE Transactions on Signal Processing,
vol. 62, no. 7, pp. 1822-1833, April 1, 2014.
IEEE on-line version,
authors' almost final version
(Copyright IEEE)
S. Hosseini,
Y. Deville,
"Blind separation of parametric nonlinear mixtures of
possibly autocorrelated and non-stationary sources",
IEEE Transactions on Signal Processing,
vol. 62, no. 24, pp. 6521-6533, Dec. 15, 2014.
IEEE on-line version,
authors' final version
(Copyright IEEE)
M. S. Karoui,
Y. Deville,
F. Z. Benhalouche, I. Boukerch,
"Hypersharpening by Joint-Criterion Nonnegative Matrix
Factorization",
IEEE Transactions on Geoscience and Remote Sensing,
vol. 55, no. 3, pp. 1660-1670, March 2017.
IEEE on-line version,
abstract in IEEE Xplore,
authors' preprint version
(Copyright IEEE)
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
A. Ouamri,
"Hyperspectral and multispectral data
fusion based on linear-quadratic
nonnegative matrix factorization",
Journal of Applied Remote Sensing (SPIE Digital Library),
vol. 11, no. 2, pp. 025008-1 to 025008-18, Apr-Jun 2017.
DOI: 10.1117/1.JRS.11.025008
SPIE on-line version,
authors' copy of official version
(Copyright (2017) Society of Photo-Optical Instrumentation Engineers. One print or electronic
copy may be made for personal use only. Systematic reproduction and distribution, duplication of any
material in this paper for a fee or for commercial purposes, or modification of the content of the paper
are prohibited).
A. Deville,
Y. Deville,
"Concepts and criteria for blind quantum source
separation and blind quantum process tomography",
Entropy, vol. 19, no. 311, 2017.
DOI:
http://dx.doi.org/10.3390/e19070311
Entropy on-line version of pdf file,
Entropy on-line page associated with paper,
authors' copy of official version
(Copyright 2017 by the authors).
Y. Deville,
A. Deville,
"Blind Quantum Source Separation:
Quantum-processing qubit uncoupling systems based on disentanglement",
Digital Signal Processing,
vol. 67,
pp. 30-51,
August 2017.
DOI:
http://dx.doi.org/10.1016/j.dsp.2017.04.013
Elsevier on-line version,
authors' accepted manuscript (with some minor typos...)
(Copyright Elsevier).
S. Jay, M. Guillaume, A. Minghelli,
Y. Deville,
M. Chami, B. Lafrance, V. Serfaty,
"Hyperspectral remote sensing of shallow waters: considering
environmental noise and bottom intra-class variability for modeling
and inversion of water reflectance",
Remote Sensing of Environment,
vol. 200, pp. 352-367,
Oct.
2017.
DOI:
http://dx.doi.org/10.1016/j.rse.2017.08.020
Elsevier on-line page associated with paper,
authors' preprint version,
another authors' preprint version.
S. Jay, M. Guillaume, M. Chami, A. Minghelli,
Y. Deville,
B. Lafrance, V. Serfaty,
"Predicting minimum uncertainties in the
inversion of ocean color geophysical
parameters based on Cramer-Rao bounds",
Optics Express,
vol. 26, no. 2,
A1-A18,
22 Jan. 2018.
DOI:
https://doi.org/10.1364/OE.26.0000A1
Editor's on-line version of pdf file,
Editor's on-line page associated with paper,
authors' copy of official version.
L. Jarboui,
Y. Deville,
S. Hosseini, R. Guidara, A. Ben Hamida,
L. T. Duarte,
"A second-order blind source separation method for bilinear mixtures",
Multidimensional Systems and Signal Processing,
Vol. 29, Issue 3, pp. 1153-1172, July 2018.
DOI:
10.1007/s11045-017-0493-9
Springer on-line page associated with paper,
authors' preprint.
C. Revel,
Y. Deville,
V. Achard, X. Briottet, C. Weber,
"Inertia-constrained pixel-by-pixel nonnegative
matrix factorisation: a hyperspectral unmixing
method dealing with intra-class variability",
Remote Sensing,
Vol. 10, Issue 11, 1706, Nov. 2018.
DOI:
https://doi.org/10.3390/rs10111706
MDPI on-line version of pdf file,
author's copy of official version.
D. G. Fantinato, L. T. Duarte,
Y. Deville,
R. Attux,
C. Jutten, A. Neves,
"A second-order statistics method for blind source
separation in post-nonlinear mixtures",
Signal Processing,
vol. 155,
pp. 63-72,
2019.
DOI:
https://doi.org/10.1016/j.sigpro.2018.09.031
Elsevier on-line version of pdf file,
Elsevier on-line page associated with paper,
authors' preprint.
Y. Deville,
"From separability/identifiability properties of bilinear and
linear-quadratic mixture matrix factorization to factorization algorithms",
Digital Signal Processing,
vol. 87, pp. 21-33, April 2019.
DOI:
https://doi.org/10.1016/j.dsp.2019.01.011
Editor's on-line version of pdf file,
author's preprint.
M. Chami, X. Lenot, M. Guillaume, B.
Lafrance, X. Briottet, A. Minghelli, S. Jay,
Y. Deville,
V. Serfaty,
"Analysis and quantification of seabed
adjacency effects in the subsurface upward
radiance in shallow waters",
Optics Express,
vol. 27, no. 8, pp. A319-A338, 2019.
DOI:
https://doi.org/10.1364/OE.27.00A319
Editor's on-line version of pdf file,
authors' copy of official version.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
K. Djerriri,
X. Briottet, T. Houet, A. Le Bris, C. Weber,
"Partial linear NMF-based unmixing methods for
detection and area estimation of photovoltaic panels
in urban hyperspectral remote sensing data",
Remote Sensing,
Vol. 11, Issue 18, September-2, paper no. 2164,
2019.
doi:10.3390/rs11182164
MDPI on-line version of pdf file,
authors' copy of official version.
A. Deville,
Y. Deville,
"N-qubit system in a pure state: a necessary and
sufficient condition for unentanglement",
Quantum Information Processing,
Vol. 18, Issue 10, paper no. 320, Oct. 2019.
Official on-line version of pdf file,
authors' accepted manuscript.
Y. Deville,
A. Deville,
"Quantum process tomography with unknown single-preparation input states:
Concepts and application to the qubit pair with internal exchange coupling",
Physical Review A,
Vol. 101, Issue 4, pp. 042332-1 to 042332-18,
April 2020.
Official on-line version of pdf file,
authors'
copy of official on-line version of pdf file.
M. Guillaume, A. Minghelli,
Y. Deville,
M. Chami, L. Juste, X. Lenot,
B. Lafrance, S. Jay, X. Briottet, V. Serfaty,
"Mapping benthic habitats by extending non-negative
matrix factorization to address the water column and
seabed adjacency effects",
Remote Sensing,
Vol. 12,
Issue 13,
Paper no. 2072, 2020.
DOI:
https://doi.org/10.3390/rs12132072
S. Hosseini, A. Selloum, T. Contini,
Y. Deville,
"Separation of galaxy spectra measured with slitless
spectroscopy",
Digital Signal Processing,
vol. 106,
no. 10283,
2020.
authors' version.
D. Benachir,
Y. Deville,
S. Hosseini,
M. S. Karoui,
"Blind unmixing of hyperspectral remote
sensing data: a new geometrical method
based on a two-source sparsity constraint",
Remote Sensing
vol. 12,
issue 19,
paper no. 3198,
2020.
MDPI on-line version of pdf file,
author's copy of official version.
S. Rebeyrol,
Y. Deville,
V. Achard, X. Briottet,
S. May,
"Using a panchromatic image to improve
hyperspectral unmixing",
Remote Sensing,
vol. 12,
issue 17,
paper no. 2834,
2020.
MDPI on-line version of pdf file,
author's copy of official version.
F. Z. Benhalouche,
Y. Deville,
M. S. Karoui, A. Ouamri,
"Hyperspectral unmixing based on constrained
bilinear or linear-quadratic matrix
factorization"
(in Special Issue Machine Learning and Pattern Analysis in Hyperspectral
Remote Sensing),
Remote Sensing,
vol. 13,
issue 11,
paper no. 2132,
2021.
MDPI on-line version of pdf file,
author's copy of official version.
A. Boulais, O. Berne, G. Faury,
Y. Deville,
"Unmixing methods based on non-negativity and weakly mixed
pixels for astronomical hyperspectral datasets",
Astronomy & Astrophysics,
Vol. 647,
Article Number: A105,
pp. 1-25,
March 2021.
DOI: https://doi.org/10.1051/0004-6361/201936399
Astronomy & Astrophysics on-line version of pdf file,
author's copy of official version.
Y. Deville,
A. Deville,
"New single-preparation methods for unsupervised quantum machine
learning problems",
IEEE Transactions on Quantum Engineering,
vol. 2, 2021,
Article Sequence Number: 3104224,
pp. 1-24.
DOI: 10.1109/TQE.2021.3121797
IEEE on-line version of pdf file,
author's copy of official version.
S. Esmaeiloghli,
S. H. Tabatabaei,
E. J. M. Carranza, S. Hosseini,
Y. Deville,
"Spatially-weighted factor analysis for extraction of source-oriented
mineralization feature in 3D coordinates of surface geochemical signal",
Natural Resources Research,
Vol. 30, No. 6,
pp. 3925-3953,
Dec. 2021.
DOI:
https://doi.org/10.1007/s11053-021-09933-2
Editor's on-line version of pdf file
S. E. Brezini, M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
A. Ouamri,
"Hypersharpening by an NMF-unmixing-based
method addressing spectral variability",
IEEE Geoscience and Remote Sensing Letters,
vol. 19, pp. 1-5, 2022, Art no. 5505405, doi: 10.1109/LGRS.2021.3072405 .
Editor's on-line version of pdf file
Y. Deville,
A. Deville, A. Mansour,
C. Ioana,
"Statistical intrusion detection and eavesdropping
in quantum channels with coupling:
Multiple-preparation and single-preparation
methods",
Quantum Information Processing,
vol. 21, issue 3,
Article: 94,
March 2022.
https://doi.org/10.1007/s11128-022-03436-6 .
Editor's on-line version of pdf file,
SharedIt view-only version,
author's
accepted version.
Y. Constans, S. Fabre, M. Seymour, V. Crombez,
Y. Deville,
X. Briottet,
"Hyperspectral pansharpening in the reflective domain with a
second panchromatic channel in the SWIR II spectral domain",
Remote Sensing,
vol. 14, issue 1,
Article Number: 113,
2022.
DOI: https://doi.org/10.3390/rs14010113
MDPI on-line version of pdf file,
author's copy of official version.
F. Verdeil,
Y. Deville,
"Two unitary quantum process tomography algorithms
robust to systematic errors",
Physical Sciences Forum,
vol. 5,
Article Number: 29,
2022.
DOI: https://doi.org/10.3390/psf2022005029
Editor's on-line version of pdf file,
author's copy of official version.
Y. Deville,
G. Faury, V. Achard, X. Briottet,
"An NMF-based method for jointly handling mixture nonlinearity
and intraclass variability in hyperspectral blind source separation",
Digital Signal Processing,
vol. 133, March 2023, paper no. 103838.
DOI:
https://doi.org/10.1016/j.dsp.2022.103838
Editor's on-line version of pdf file,
author's submitted version.
Y. Deville,
A. Deville,
"Exploiting the higher-order statistics of
random-coefficient pure states for quantum information processing",
Quantum Information Processing,
vol. 22, Article number: 216, 2023.
DOI:
https://doi.org/10.1007/s11128-023-03970-x
Editor's on-line version of pdf file,
author's submitted version,
SharedIt link (full-text access to a view-only version of paper).
S. E. Brezini,
Y. Deville,
"Hyperspectral and multispectral image fusion with automated extraction of
image-based endmember bundles and sparsity-based unmixing to deal with
spectral variability",
Sensors,
vol. 23, issue 4,
Article Number: 2341,
2023.
DOI: https://doi.org/10.3390/s23042341
Editor's on-line version of pdf file,
author's copy of official version.
F. Verdeil,
Y. Deville,
"Pure-state tomography with parallel unentangled measurements",
Physical Review A,
Vol. 107,
Issue 1,
pp. 012408 (15 pages),
Jan. 2023,
DOI: 10.1103/PhysRevA.107.012408
Editor's on-line version of pdf file,
author's copy of official version.
Y. Deville,
S. E. Brezini, F. Z. Benhalouche, M. S. Karoui,
M. Guillaume, X. Lenot, B. Lafrance, M. Chami, S. Jay, A. Minghelli,
X. Briottet, V. Serfaty,
"Modeling and unsupervised unmixing based on intraclass variability
for hyperspectral oceanic remote sensing data with
adjacency effects",
Remote Sensing,
vol. 15,
issue 18,
paper no. 4583 (18 pages),
2023.
DOI: https://doi.org/10.3390/rs15184583
Editor's on-line version of pdf file,
author's copy of official version.
M. Bella, H. Saylani, S. Hosseini,
Y. Deville,
"Multi-channel bin-wise speech separation
combining time-frequency masking and
beamforming",
IEEE Access,
vol. 11,
pp. 100632-100645, 2023.
DOI: 10.1109/ACCESS.2023.3315596
Editor's on-line version of pdf file,
author's copy of official version.
F. Verdeil,
Y. Deville,
"Unitary quantum process tomography with unreliable pure input states",
Physical Review A,
vol. 108,
issue 6,
paper no. 062410 (20 pages),
Dec. 2023.
DOI: 10.1103/PhysRevA.108.062410
Editor's on-line version of pdf file,
author's copy of official version.
S. Esmaeiloghli,
S. H. Tabatabaei,
S. Hosseini,
Y. Deville,
E. J. M. Carranza,
"Blind source separation of spectrally-filtered geochemical signals to recognize
multi-depth ore-related enrichment patterns",
Mathematical Geosciences,
vol. 56,
issue 6,
pp. 1255-1283,
2024.
DOI: https://doi.org/10.1007/s11004-023-10101-w
Editor's on-line version of pdf file,
author's copy of official version.
A. Deville,
Y. Deville,
"Quantum information: systems, their states, and the use of
variances",
Information,
vol. 15,
issue 5,
paper no. 247,
2024.
DOI: https://doi.org/10.3390/info15050247
Editor's on-line version of pdf file,
author's copy of official version.
Publications in French journals / Publications dans des revues francaises
Y. Deville,
"Les activités de Philips dans le domaine des réseaux
neuromimétiques",
La Lettre de l'Intelligence Artificielle, no. 100, pp. 4-10, Jan. 1994.
Y. Deville,
"Trends in hardware implementations of neural networks",
VALGO Journal, ISSN 1243-4825, no. 94-1, pp. 25-44, June 1994.
Y. Deville, "A survey of neural network research in Philips",
VALGO Journal, ISSN 1243-4825, no. 95-1, pp. 12-16, May 1995.
Y. Deville,
"Analysis of the stability of a self-normalized
adaptive
source separation
neural network",
Comptes Rendus de l'Académie des Sciences de Paris,
t. 326, Série I, pp. 1031-1036, 1998.
B. Albouy,
Y. Deville,
"Segmentation et séparation de signaux de parole et/ou de bruit
à l'aide de fonctions de cohérence et de spectres de puissance"
(article invité),
Revue de l'Electricité et de l'Electronique,
no. 6-7, pp. 63-67,
Juin-Juillet 2003.
Y. Deville,
S. Hosseini, C. Joblin, O. Berné,
Quand les spectres de poussière interstellaire dévoilent de
nouvelles générations d'étoiles,
revue des Faits Marquants de l'Observatoire Midi-Pyrénées,
2ème semestre 2007.
X. Briottet,
T. Bajjouk,
M. Chami,
C. Delacourt,
J.B. Féret,
S. Jacquemoud,
A. Minghelli,
D. Sheeren,
C. Weber,
S. Fabre,
K. Adeline,
E. Vaudour,
S. Luque,
Y. Deville,
K. Soudani,
C. Verpoorter,
"BIODIVERSITY - A new space mission to monitor Earth ecosystem
at fine scale"
(in English),
Revue Francaise de Photogrammetrie et Teledetection
(RFPT),
vol. 224,
no. 1,
pp. 33-58,
2022.
DOI:
https://doi.org/10.52638/rfpt.2022.568
Editor's on-line version of pdf file,
author's copy of official version.
Y. Constans, S. Fabre, H. Brunet, M. Seymour, V. Crombez,
J. Chanussot, X. Briottet,
Y. Deville,
"Fusion of hyperspectral and panchromatic data by
spectral unmixing in the reflective domain"
(in English),
Revue Francaise de Photogrammetrie et Teledetection
(RFPT),
vol. 224,
no. 1,
pp. 59-74,
2022.
DOI:
https://doi.org/10.52638/rfpt.2022.508
Editor's on-line version of pdf file,
author's copy of official version.
C. Weber, X. Briottet, T. Houet, S. Gadal, R. Aguejdad,
Y. Deville,
M. Dalla Mura, C. Mallet, A. Le Bris, M. S. Karoui,
F. Z. Benhalouche, K. Djerriri, S. Fabre, J. Aval,
"Hyperspectral imagery and urban areas: results of the HYEP project"
(in English),
Revue Francaise de Photogrammetrie et Teledetection
(RFPT),
vol. 224,
no. 1,
pp. 75-92,
2022.
DOI:
https://doi.org/10.52638/rfpt.2022.589
Editor's on-line version of pdf file,
author's copy of official version.
Papers in journals published by PHILIPS / Articles dans des revues publiées par PHILIPS
Y. Deville, J. Guennouni, "Cache memories for RISC microprocessors",
LEP Annual Review 1989, ISSN 0750-6287, pp. 66-68,
Nov. 1990.
Neural networks team,
"Neural networks research at Philips/LEP",
LEP Annual Review 1989, ISSN 0750-6287, pp. 45-54, Nov. 1990.
Y. Deville,
"Automatic tuner alignment",
Philips Research Newsletter, no. 145, p. 4, Oct. 1993.
P. Friedel, G.M. Martin, J.-P. Boyer,
Y. Deville,
"Two 'neuro-fuzzy'
applications: TV tuner alignment and car radio",
Philips Research Bulletin on Systems & Software, no. 13, pp. 5-8, July 1994.
Y. Deville,
"An automatic tuner alignment system with neural options",
LEP Annual Review 1993, ISSN 0750-6287, pp. 27-29, Sept. 1994.
Y. Deville,
L. Andry, J.C. Boissy, S. Roblin, J. Damour,
"Blind source separation: a new signal processing technique, with applications
to antenna and microphone arrays",
LEP Annual Review 1994, ISSN 0750-6287, pp. 14-16, Sept. 95.
Y. Deville,
et al,
"Séparation de signaux sources :
une méthode de suppression de bruit acoustique ou radio",
Revue Annuelle 1996 de la Compagnie Française Philips, p. 33, 1996.
Y. Deville,
"Source separation",
Philips Research Newsletter, no. 165, p. 4, July 1996.
Y. Deville,
L. Andry, N. Charkani, J. Damour,
"Source
separation:
noise cancellation
for audio and RF applications",
Philips Research Bulletin on Systems & Software,
no. 20, pp. 9-12,
March 1997.
Communications in international conferences with proceedings / Communications dans des conférences internationales avec actes
Y. Deville,
"Digital hardware implementations of neural networks and
their impact on algorithms and applications" (invited
plenary lecture),
appended to the
Proceedings of NeuroNîmes '93, Nîmes, France, Oct. 1993.
Y. Deville,
"Digital VLSI neural networks:
from versatile neural
processors
to application-specific
chips" (invited survey talk),
Proceedings of the 9th Session of the Industrial International Conference on
Artificial Neural Networks (ICANN '95 = NeuroNîmes '95), pp. 1-6,
Paris, France, Oct. 9-13, 1995.
Y. Deville, L. Andry,
"Application of blind source separation techniques
to multi-tag contactless identification systems" (invited paper in special
session),
Proceedings of the 1995 International Symposium on Nonlinear
Theory and Its Applications (NOLTA '95),
vol. 1, pp. 73-78,
Las Vegas, U.S.A, Dec. 10-14, 1995.
Comments: this paper esp. concerns
Radio Frequency Identification (RFID).
Y. Deville,
"Analysis of the convergence properties of a self-normalized source separation
neural network",
Proceedings of the First IEEE
Signal Processing
Workshop on
Signal Processing Advances in Wireless Communications (SPAWC '97),
pp. 69-72,
Paris, France,
April 16-18, 1997.
N. Charkani, Y. Deville, J. Hérault,
"Stability analysis and optimization of time-domain convolutive source
separation algorithms",
Proceedings of the First IEEE
Signal Processing
Workshop on
Signal Processing Advances in Wireless Communications (SPAWC '97),
pp. 73-77,
Paris, France,
April 16-18, 1997.
N. Charkani, Y. Deville,
"Optimization of the asymptotic performance of time-domain
convolutive source separation algorithms"
(invited paper in special session),
Proceedings of
the Fifth European Symposium on Artificial Neural Networks
(ESANN'97),
pp. 273-278,
Bruges, Belgium, April 16-18, 1997.
Y. Deville, N. Charkani,
"Analysis of the stability of time-domain
source
separation algorithms for convolutively mixed signals",
Proceedings of the 1997 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 97),
pp. 1835-1838,
Munich, Germany,
April 21-24, 1997.
Y. Deville,
"Towards industrial applications of blind source separation
and independent component analysis",
Proceedings of
the First International Workshop on Independent Component Analysis
and Signal Separation (ICA'99), pp. 19-24,
Aussois, France, Jan. 11-15, 1999.
Y. Deville, N. Charkani,
"Convergence of source separation
neural networks operating with
self-normalized weight updating terms",
Proceedings of
the First International Workshop on Independent Component Analysis
and Signal Separation (ICA'99),
pp. 227-232,
Aussois, France, Jan. 11-15, 1999.
Y. Deville, J. Damour, N. Charkani,
"Improved multi-tag radio-frequency identification systems
based on new source separation neural networks",
Proceedings of
the First International Workshop on Independent Component Analysis
and Signal Separation (ICA'99),
pp. 449-454,
Aussois, France, Jan. 11-15, 1999.
Comments: this paper esp. concerns
Radio Frequency Identification (RFID).
N. Charkani, Y. Deville,
"A
convolutive source separation method
with self-optimizing
non-linearities",
Proceedings of the 1999 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP-99),
vol. V,
pp. 2909-2912,
Phoenix, Arizona,
U.S.A,
March 15-19, 1999.
Y. Deville,
"A source separation criterion based on
signed normalized kurtosis",
Proceedings of
the 4th International Worshop on
Electronics, Control, Measurement and Signals
(ECMS'99),
ISBN 80-7083-339-4,
pp. 143-146,
Liberec, Czech Republic,
May 31 - June 1, 1999.
Y. Deville, N. Charkani,
"Analysis
of
convolutive
source separation
methods based on
self-normalized weight updating terms"
(invited paper in special session),
Proceedings of
the IEEE Signal Processing Workshop on Higher-Order
Statistics (HOS'99),
pp. 314-318,
Caesarea, Israel, June 14-16, 1999.
Y. Deville, M. Benali,
"Differential source separation: concept and
application to a criterion based on
differential normalized kurtosis",
Proceedings of
the 10th European Signal Processing Conference
(EUSIPCO 2000),
session TueAmOR1,
Tampere, Finland,
Sept. 4-8, 2000.
Comments: this paper esp. concerns
(i)
differential
source separation, esp. using higher-order statistics,
(ii) underdetermined mixtures.
Y. Deville, M. Benali,
"A criterion for deriving the sub/super Gaussianity
of source signals from their mixtures",
Proceedings of
the 10th European Signal Processing Conference
(EUSIPCO 2000),
session WedAmPO1,
Tampere, Finland,
Sept. 4-8, 2000.
F. Abrard, Y. Deville, M. Benali,
"Numerical and analytical solutions to the differential source separation
problem",
Proceedings of
the 10th European Signal Processing Conference
(EUSIPCO 2000),
session WedAmPO1,
Tampere, Finland,
Sept. 4-8, 2000.
Comments: this paper esp. concerns
(i)
differential
source separation, esp. using higher-order statistics,
(ii) underdetermined mixtures.
Y. Deville, S. Savoldelli,
"A second-order differential approach for underdetermined
convolutive source separation",
Proceedings of the 2001 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2001),
session MULT-P2,
Salt Lake City, USA,
May 7-11, 2001.
Comments: this paper esp. concerns
(i)
differential
source separation, esp. using second-order statistics,
(ii) underdetermined mixtures,
(iii) convolutive mixtures.
F. Abrard, Y. Deville, P. White,
"A new source separation approach based on time-frequency analysis
for instantaneous mixtures",
Proceedings of
the 5th International
Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECM2S'2001), pp. 259-267,
Toulouse, France, May 30 - June 1, 2001.
Comments: this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TEMPROM and TIFROM methods (more precisely, LI-TEMPROM and
LI-TIFROM, for Linear Instantaneous mixtures;
the name "TEMPROM" is not explicitly
used in this paper, but our TEMPoral method is described).
B. Albouy, Y. Deville,
"Improving noisy speech recognition with blind source separation methods:
validation with artificial mixtures",
Proceedings of
the 5th International
Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECM2S'2001), p. 271,
Toulouse, France, May 30 - June 1, 2001.
F. Abrard, Y. Deville,
"Blind source separation in convolutive mixtures: a hybrid approach
for colored sources",
Proc. of the 6th International Work-conference on Artificial
And Natural Neural Networks (IWANN 2001), vol. 2, pp. 802-809,
J. Mira and A. Priero eds (Springer),
Granada, Spain, June 2001.
F. Abrard, Y. Deville, P. White,
"From blind source separation to blind source cancellation in
the underdetermined case:
a new approach based on time-frequency analysis",
Proceedings of the
3rd International Conference on Independent Component Analysis
and Signal Separation (ICA'2001),
pp. 734-739,
San Diego, California, Dec. 9-13, 2001.
Comments: this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TEMPROM and TIFROM methods (more precisely, LI-TEMPROM and
LI-TIFROM, for Linear Instantaneous mixtures;
the name "TEMPROM" is not explicitly
used in this paper, but our TEMPoral method is described),
(iii) underdetermined mixtures.
S. Choi, A. Cichocki, Y. Deville,
"Differential decorrelation for nonstationary source separation",
Proceedings of the
3rd International Conference on Independent Component Analysis
and Signal Separation (ICA'2001),
pp. 319-322,
San Diego, California, Dec. 9-13, 2001.
Y. Deville,
"Analysis and control of the stability of a differential separation
method for underdetermined convolutive mixtures",
Proceedings of the 11th
European Signal Processing Conference
(EUSIPCO 2002),
Paper 719,
Toulouse, France, Sept 3-6, 2002.
Comments: this paper esp. concerns
(i)
differential
source separation, esp. using second-order statistics,
(ii) underdetermined mixtures,
(iii) convolutive mixtures.
B. Albouy, Y. Deville,
"Segmentation and separation of speech and/or noise signals,
using coherence functions and power spectra",
Proceedings of the third workshop on
Physics in Signal and Image Processing (PSIP'2003),
pp. 9-12, Grenoble, France, Jan. 29-31, 2003.
Y. Deville,
"Temporal and time-frequency correlation-based blind source
separation methods",
Proceedings of
the Fourth International Symposium on Independent Component Analysis
and Blind Signal Separation (ICA2003),
pp. 1059-1064,
Nara, Japan, April 1-4, 2003.
Comments: this paper esp. concerns
(i)
time-frequency
source separation
(ii) our TEMPCORR and TIFCORR methods (more precisely, LI-TEMPCORR and
LI-TIFCORR, for Linear Instantaneous mixtures;
the name "TEMPCORR" is not explicitly
used in this paper, but our TEMPoral method is described).
B. Albouy, Y. Deville,
"Alternative structures and power spectrum criteria
for blind segmentation and separation
of convolutive speech mixtures",
Proceedings of
the Fourth International Symposium on Independent Component Analysis
and Blind Signal Separation (ICA2003),
pp. 361-366,
Nara, Japan, April 1-4, 2003.
authors' copy of
published version
F. Abrard, Y. Deville,
"Extension of the "TIme-Frequency Ratio Of Mixtures"
blind source separation method to more than 2 channels",
Proceedings of
the 6th International Worshop on
Electronics, Control, Measurement and Signals
(ECMS 2003),
ISBN 80-7083-708-X,
pp. 1-6,
Liberec, Czechia,
June 2-4, 2003.
B. Albouy, Y. Deville,
"A time-frequency blind source separation method based on
segmented coherence function",
Proc. of the 7th International Work-conference on Artificial
And Natural Neural Networks (IWANN 2003),
special session,
vol. 2, pp. 289-296,
J. Mira and J. R. Alvarez eds (Springer),
Mao, Menorca, Spain, June 3-6, 2003.
S. Hosseini, Y. Deville,
"Blind separation of linear-quadratic mixtures of real sources using a
recurrent structure",
Proc. of the 7th International Work-conference on Artificial
And Natural Neural Networks (IWANN 2003),
special session,
vol. 2, pp. 241-248,
J. Mira and J. R. Alvarez eds (Springer),
Mao, Menorca, Spain, June 3-6, 2003.
F. Abrard, Y. Deville,
"Blind separation of dependent sources using the
"TIme-Frequency Ratio Of Mixtures" approach"
(invited paper in special session),
Proceedings of the 7th International Symposium on Signal Processing
and its Applications (ISSPA 2003),
IEEE Catalog Number 03EX714C, ISBN 0-7803-7947-0,
Paris, France, July 1-4, 2003.
proceedings version
(Copyright IEEE)
A. Talon, E. Juliac, Y. Deville,
"Ultrasonic inspection of Ti-Al based alloys",
Proceedings of the 5th World Congress on Ultrasonics (WCU'2003),
pp. 1399-1402,
Paris, France,
Sept. 7-10, 2003.
Y. Deville, M. Puigt, B. Albouy,
"Time-frequency blind signal separation:
extended methods, performance evaluation for speech sources",
Proceedings of the International Joint Conference on Neural Networks
(IJCNN 2004),
IEEE Catalog Number: 04CH37541C,
ISBN: 0-7803-8360-5,
pp. 255-260,
Budapest, Hungary,
25-29 July 2004.
S. Hosseini, Y. Deville,
"Blind separation of nonstationary sources by spectral decorrelation",
Proceedings of the Fifth International Conference on
Independent Component Analysis and Blind Signal Separation
(ICA 2004),
pp. 279-286,
ISSN 0302-9743,
ISBN 3-540-23056-4,
Springer-Verlag,
vol. LNCS
3195,
Granada, Spain, Sept. 22-24, 2004.
Springer-Verlag on-line version
(Copyright Springer-Verlag,
LCNS series),
my preprint
S. Hosseini, Y. Deville,
"Blind maximum likelihood separation of a linear-quadratic
mixture",
Proceedings of the Fifth International Conference on
Independent Component Analysis and Blind Signal Separation
(ICA 2004),
pp. 694-701,
ISSN 0302-9743,
ISBN 3-540-23056-4,
Springer-Verlag,
vol. LNCS
3195,
Granada, Spain, Sept. 22-24, 2004.
Springer-Verlag on-line version
(Copyright Springer-Verlag,
LCNS series),
my preprint
Comments:
see also
"Correction to "Blind maximum likelihood separation of a linear-quadratic
mixture"" at
http://arxiv.org/abs/1001.0863
S. Hosseini, Y. Deville, H. Saylani,
"From time-domain separation of stationary temporally correlated
sources to frequency-domain separation of nonstationary sources",
Proceedings of the Fourth International Conference on
Physics in Signal and Image Processing (PSIP'2005),
pp. 55-59, Toulouse, France, Jan. 31 - Feb. 2, 2005.
my preprint
M. Puigt, Y. Deville,
"A time-frequency ratio-based source separation method for time-delayed
mixtures exploiting constant-time zones",
Proceedings of
the 7th International
Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2005),
Toulouse, France, May 17 - 20, 2005.
J. Thomas, Y. Deville, S. Hosseini,
"Fixed-point algorithms for convolutive blind
source separation based on non-gaussianity maximization",
Proceedings of
the 7th International
Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2005),
Toulouse, France, May 17 - 20, 2005.
Y. Deville, A. Talon, E. Juliac,
"High-resolution
time-delay estimation
and filter identification methods
with an application
to ultrasound non-destructive testing",
Proceedings of
the 7th International
Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2005),
Toulouse, France, May 17 - 20, 2005.
proceedings version
Y. Deville,
J. Chappuis, S. Hosseini, J. Thomas,
Differential fast fixed-point BSS for underdetermined linear instantaneous
mixtures,
Proceedings of the Sixth
International Conference on
Independent Component Analysis and Blind Signal
Separation
(ICA 2006),
pp. 48-56,
Springer-Verlag,
vol. LNCS
3889,
Charleston, SC, USA,
March 5-8, 2006.
Springer-Verlag on-line version.
S. Hosseini, R. Guidara, Y. Deville, C. Jutten,
Markovian blind image separation,
Proceedings of the Sixth
International Conference on
Independent Component Analysis and Blind Signal
Separation
(ICA 2006),
pp. 106-114,
Springer-Verlag,
vol. LNCS
3889,
Charleston, SC, USA,
March 5-8, 2006.
Springer-Verlag on-line version.
M. Puigt, Y. Deville,
Two time-frequency ratio-based blind source separation methods
for time-delayed mixtures,
Proceedings of the Sixth
International Conference on
Independent Component Analysis and Blind Signal
Separation
(ICA 2006),
pp. 682-690,
Springer-Verlag,
vol. LNCS
3889,
Charleston, SC, USA,
March 5-8, 2006.
Springer-Verlag on-line version.
H. Saylani, Y. Deville, S. Hosseini, M. Habibi,
A multi-tag radio-frequency identification system
using a new blind source separation method
based on spectral decorrelation
(invited paper in special session),
Proceedings of the
Second International Symposium on
Communications, Control and Signal Processing
(ISCCSP 2006),
ISBN 2-908848-17-8,
Marrakech, Morocco,
March, 13-15, 2006.
Y. Deville,
D. Bissessur, M. Puigt, S. Hosseini, H. Carfantan,
"A time-scale correlation-based blind separation method applicable to
correlated sources" (invited paper in
special session),
Proceedings of the 14th European Symposium on Artificial
Neural Networks (ESANN'2006),
Bruges, Belgium,
April 26-28,
2006.
M. Puigt,
Y. Deville
"A time-frequency correlation-based blind source separation method
for time-delayed mixtures",
Proceedings of the 2006
IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2006),
ISBN: 1-4244-0469-X,
pp. V-853 - V-856,
Toulouse, France, May 14-19, 2006.
S. Hosseini, R. Guidara,
Y. Deville,
C. Jutten,
"Maximum likelihood separation of spatially
autocorrelated images using a Markov Model"
(invited paper),
Proceedings of the
26th International Workshop on Bayesian Inference and Maximum Entropy
Methods in Science and Engineering
(MaxEnt 2006),
pp. 105-112,
Paris, France, July 8-13, 2006.
Y. Deville,
S. Hosseini,
"Blind identification and separation methods for linear-quadratic mixtures and/or linearly independent non-stationary signals"
(invited paper in special session),
Proceedings of the
9th
International Symposium on Signal Processing
and its Applications (ISSPA 2007),
IEEE Catalog Number 07EX1580C, ISBN 1-4244-0779-6,
Sharjah,
United Arab Emirates,
Feb, 12-15, 2007.
R. Guidara, S. Hosseini,
Y. Deville,
"Markovian blind separation of non-stationary temporally correlated sources",
Proceedings
of the 15th European Symposium on Artificial
Neural Networks (ESANN'2007),
Bruges, Belgium,
April 25-27,
2007.
M. Puigt,
Y. Deville,
"A new time-frequency correlation-based source separation method for attenuated and time-shifted mixtures",
Proceedings of
the 8th International Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2007),
ISBN 978-80-7372-218-0,
pp. 34-39,
Liberec, Czech Republic,
May 21-23, 2007.
J. Malek, Z. Koldovsky, S. Hosseini,
Y. Deville,
"A variant of EFICA algorithm with adaptive parametric density
estimator",
Proceedings of
the 8th International Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2007),
ISBN 978-80-7372-218-0,
pp. 79-84,
Liberec, Czech Republic,
May 21-23, 2007.
J. Thomas,
Y. Deville,
S. Hosseini,
"Multivariate polynomial identification for blind image separation",
Proceedings of
the 8th International Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2007),
ISBN 978-80-7372-218-0,
pp. 97-102,
Liberec, Czech Republic,
May 21-23, 2007.
Y. Deville,
A. Deville,
"Blind separation of quantum states: estimating two qubits from an isotropic
Heisenberg spin coupling model",
Proceedings of the 7th
International Conference on
Independent Component Analysis and
Signal
Separation
(ICA 2007),
pp. 706-713,
ISSN 0302-9743,
Springer-Verlag,
vol. LNCS 4666,
London, UK, September 9-12, 2007.
Comments: this paper concerns
(i) blind source/signal separation and independent component analysis,
and (ii) quantum information processing,
qubits, quantum pure states, spin coupling ...
We thus introduce the
"Blind quantum source separation" field i.e.,
to our knowledge, this is the first
paper ever published on this topic (if you know previous papers,
please let us know).
Y. Deville,
S. Hosseini,
"Stable Higher-Order Recurrent Neural Network Structures for Nonlinear
Blind Source Separation",
Proceedings of the 7th
International Conference on
Independent Component Analysis and
Signal
Separation
(ICA 2007),
pp. 161-168,
ISSN 0302-9743,
Springer-Verlag,
vol. LNCS 4666,
London, UK, September 9-12, 2007.
O. Berné,
Y. Deville,
C. Joblin,
"Blind signal separation methods for the identification of interstellar
carbonaceous nanoparticles",
Proceedings of the 7th
International Conference on
Independent Component Analysis and
Signal
Separation
(ICA 2007),
pp. 681-688,
ISSN 0302-9743,
Springer-Verlag,
vol. LNCS 4666,
London, UK, September 9-12, 2007.
R. Guidara, S. Hosseini,
Y. Deville,
"Blind Separation of Non-stationary Images using Markov Models",
Proceedings of the 7th
International Conference on
Independent Component Analysis and
Signal
Separation
(ICA 2007),
pp. 722-729,
ISSN 0302-9743,
Springer-Verlag,
vol. LNCS 4666,
London, UK, September 9-12, 2007.
Y. Deville,
A. Deville,
"Maximum likelihood blind separation of two quantum states (qubits)
with cylindrical-symmetry Heisenberg spin coupling",
Proceedings of the 2008 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2008),
pp. 3497-3500,
Las Vegas, Nevada, USA,
March 30 - April 4, 2008.
Comments: this paper concerns
(i) blind source/signal separation and independent component analysis,
and (ii) quantum information processing,
qubits, quantum pure states, spin coupling ...
This is our second step in the
"Blind quantum source separation" field that we introduced in
our above-mentioned ICA 2007 paper i.e.,
to our knowledge, this is the second
paper ever published on this topic (if you know previous papers,
please let us know).
Comments:
see also explanations about
"Effect of indirect dependencies on
"Maximum likelihood blind separation of two quantum states (qubits)
with cylindrical-symmetry Heisenberg spin coupling"" at
http://arxiv.org/abs/0906.0062
Z.
Koldovsky, J. Malek, P.
Tichavsky,
Y. Deville,
S. Hosseini,
"Extension of EFICA algorithm for blind separation of piecewise
stationary non Gaussian sources",
Proceedings of the 2008 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2008),
pp. 1913-1916,
Las Vegas, Nevada, USA,
March 30 - April 4, 2008.
M.S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri, D. Ducrot,
"Contribution of non-negative matrix factorization to the
classification of remote sensing images",
Proceedings of the SPIE Europe Remote Sensing Conference:
Image and Signal Processing for Remote Sensing XIV, SPIE vol. 7109
71090X,
Cardiff, UK, Sept. 15-18, 2008.
SPIE on-line version
M. Puigt,
Y. Deville,
"Iterative-shift cluster-based time-frequency BSS
for fractional-time-delay mixtures",
Proceedings of
the 8th
International Conference on
Independent Component Analysis and Signal Separation
(ICA 2009),
pp. 306-313,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 5441,
Paraty, Brazil, March 15-18, 2009.
H. Saylani, S. Hosseini,
Y. Deville,
"Blind separation of noisy mixtures of non-stationary sources
using spectral decorrelation",
Proceedings of
the 8th
International Conference on
Independent Component Analysis and Signal Separation
(ICA 2009),
pp. 322-329,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 5441,
Paraty, Brazil, March 15-18, 2009.
M. Puigt, E. Vincent,
Y. Deville,
"Validity of the independence assumption for the separation of
instantaneous and convolutive mixtures of speech and music sources",
Proceedings of
the 8th
International Conference on
Independent Component Analysis and Signal Separation
(ICA 2009),
pp. 613-620,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 5441,
Paraty, Brazil, March 15-18, 2009.
M. Puigt, O. Berné, R. Guidara,
Y. Deville,
S. Hosseini, C. Joblin,
"Cross-validation of blindly separated interstellar dust spectra",
Proceedings of
the 9th International Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2009),
pp. 41-48,
Arrasate-Mondragon,
Spain,
July 8-10, 2009.
C. Chaouchi,
Y. Deville,
S. Hosseini,
"Nonlinear source separation: a quadratic
recurrent inversion structure",
Proceedings of
the 9th International Worshop on
Electronics, Control, Modelling, Measurement and Signals
(ECMS 2009),
pp. 91-98,
Arrasate-Mondragon,
Spain,
July 8-10, 2009.
M. S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri and D. Ducrot,
"Improvement of remote sensing multispectral image classification
by using independent component analysis",
Proceedings of the
First
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS '09),
Grenoble, France, Aug. 26-28,
2009.
O. Berné, C. Joblin, A. Tielens,
Y. Deville,
M. Puigt, R. Guidara,
S. Hosseini, G. Mulas, J. Cami,
"Source separation algorithms for the analysis of hyper-spectral
observations of very small interstellar dust particles",
Proceedings of the
First
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS '09),
Grenoble, France, Aug. 26-28,
2009.
M. S. Karoui, A. Ouamri,
Y. Deville,
S. Hosseini,
"Processing of hyperspectral remote sensing data by blind source
separation methods: feasibility",
Proceedings of
6th International Summer School on Signal Processing \& its
Applications
(ISSSPA 2009)
+
First Workshop in Signal and Image Processing (WSIP 2009),
Oran, Algeria, Oct. 4-8, 2009.
I. Meganem,
Y. Deville,
M. Puigt,
"Blind separation methods based on correlation for sparse possibly-correlated images",
Proceedings of the 2010 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2010),
pp. 1334-1337,
Dallas, Texas, USA,
March 14-19, 2010.
S. Chaouchi,
Y. Deville,
S. Hosseini,
"Nonlinear source separation:
a maximum likelihood approach for quadratic mixtures",
Proceedings of the
30th International Workshop on
Bayesian Inference and Maximum Entropy
Methods in Science and Engineering
(MaxEnt 2010),
Chamonix, France, July 4-9, 2010.
H. Saylani, S. Hosseini,
Y. Deville,
"Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation",
Proceedings of the 18th European Signal Processing Conference
(EUSIPCO 2010),
pp. 895-899,
Aalborg, Denmark, Aug. 23-27, 2010.
S. Chaouchi,
Y. Deville,
S. Hosseini,
"Cumulant-based estimation of quadratic mixture parameters for
blind source separation",
Proceedings of the 18th European Signal Processing Conference
(EUSIPCO 2010),
pp. 1826-1830,
Aalborg, Denmark, Aug. 23-27, 2010.
H. Saylani, S. Hosseini,
Y. Deville,
"Blind separation of convolutive mixtures of non-stationary sources using joint block diagonalization in the frequency domain",
Proceedings of
the 9th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2010),
pp. 97-105, Springer-Verlag Berlin Heidelberg,
vol. LNCS 6365,
St. Malo, France,
Sept. 27-30, 2010.
Y. Deville,
"ICA separability of nonlinear models with references:
general properties and application to Heisenberg-coupled
quantum states (qubits)",
Proceedings of
the 9th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2010),
pp. 173-180,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 6365,
St. Malo, France,
Sept. 27-30, 2010.
Y. Deville,
S. Hosseini,
"Blind operation of a recurrent neural network for linear-quadratic source separation: fixed points, stabilization and adaptation scheme",
Proceedings of
the 9th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2010),
pp. 237-244,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 6365,
St. Malo, France,
Sept. 27-30, 2010.
L. T. Duarte, R. Suyama, R. Attux,
Y. Deville,
J. M. T. Romano, C. Jutten,
"Blind source separation of overdetermined linear-quadratic
mixtures",
Proceedings of
the 9th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2010),
pp. 263-270,
Springer-Verlag Berlin Heidelberg,
vol. LNCS 6365,
St. Malo, France,
Sept. 27-30, 2010.
M. S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri,
"Spatial sparsity-based blind source separation method
including non-negative matrix factorization
for multispectral image unmixing" (invited paper),
Proceedings of
the IEEE
10th International Worshop on
Electronics, Control, Measurement and Signals
(ECMS 2011),
ISBN: 978-1-61284-395-7,
IEEE Catalog Number: CFP11CMS -CDR,
pp. 14-19,
Liberec, Czech Republic,
June 1-3, 2011.
I. Meganem,
Y. Deville,
Shahram Hosseini,
H. Carfantan, M. S. Karoui,
"Extraction of stellar spectra from dense fields in hyperspectral MUSE data cubes using
non-negative matrix factorization",
Proceedings of the
Third
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS 2011),
Lisbon, Portugal,
June 6-9, 2011.
I. Meganem, P. Déliot, X. Briottet,
Y. Deville,
S. Hosseini,
"Physical modelling and non-linear unmixing method for urban hyperspectral
images",
Proceedings of the
Third
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS 2011),
Lisbon, Portugal,
June 6-9, 2011.
I. Meganem,
Y. Deville,
S. Hosseini, P. Déliot,
X. Briottet, L. T. Duarte,
"Linear-quadratic and polynomial Non-negative Matrix Factorization; application to spectral unmixing",
Proceedings of the 19th European Signal Processing Conference
(EUSIPCO 2011),
Barcelona, Spain,
Aug. 29- Sept. 2, 2011.
Y. Deville,
A. Deville,
"A blind quantum source separation method based on mutual information
for retrieving two qubits with cylindrical-symmetry Heisenberg coupling"
(invited paper in
Special Session on Blind Source Separation in Signal and Image Processing),
Proceedings of
the 7th International Symposium on Image and Signal Processing and
Analysis (ISPA 2011),
pp. 534-539,
IEEE Catalog Number CFP11504-CDR,
Dubrovnik, Croatia, Sept. 4-6, 2011.
Y. Deville,
A. Deville,
"Exact and approximate quantum independent component analysis for qubit uncoupling",
Proceedings of
the 10th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2012),
pp. 58-65, Springer-Verlag Berlin Heidelberg, vol. LNCS 7191,
Tel-Aviv, Israel, March 12-15, 2012.
L. T. Duarte, R. A. Ando, R. Attux,
Y. Deville,
C. Jutten,
"Separation of sparse signals in overdetermined linear-quadratic mixtures",
Proceedings of
the 10th
International Conference on
Latent Variable Analysis and
Signal Separation
(LVA/ICA 2012),
pp. 239-246, Springer-Verlag Berlin Heidelberg, vol. LNCS 7191,
Tel-Aviv, Israel, March 12-15, 2012.
S. Hosseini,
Y. Deville,
S. El Amine,
H. Saylani,
"Nonlinear blind source separation applied to a simple bijective model",
Proceedings of
the 5th International Conference on Image
and Signal Processing
(ICISP 2012),
pp. 157-165,
Springer-Verlag Berlin Heidelberg, vol. LNCS 7340,
Agadir, Morocco, June 28-30, 2012.
H. Saylani, S. Hosseini,
Y. Deville,
"Blind separation of convolutive mixtures of
non-stationary and temporally uncorrelated
sources based on joint diagonalization",
Proceedings of
the 5th International Conference on Image
and Signal Processing
(ICISP 2012),
pp. 191-199,
Springer-Verlag Berlin Heidelberg, vol. LNCS 7340,
Agadir, Morocco, June 28-30, 2012.
M. S. Karoui,
Y. Deville,
S. Hosseini,
A. Ouamri,
"A new spatial sparsity-based method for extracting
endmember spectra from hyperspectral data with some
pure pixels",
Proceedings of
the IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2012),
pp. 3074-3077,
Munich, Germany, July 22-27, 2012.
M. S. Karoui,
Y. Deville,
S. Hosseini, A. Ouamri,
"Blind unmixing of remote sensing data with some pure
pixels: extension and comparison of spatial methods
exploiting sparsity and nonnegativity properties",
Proceedings of
the
8th International Workshop on Systems,
Signal Processing and their Applications
(WOSSPA 2013),
Mazafran, Algiers,
Algeria,
May 12-15, 2013.
M. Puigt, E. Vincent,
Y. Deville,
A. Griffin, A. Mouchtaris,
"Effects of audio coding on ICA performance: an experimental study",
Proceedings of the
11th
IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2013),
Toulouse, France,
June 24-26, 2013.
D. Benachir, S. Hosseini,
Y. Deville,
M. S. Karoui, A. Hameurlain,
"Modified Independent Component Analysis for
Initializing Non-negative Matrix Factorization:
An approach to Hyperspectral Image Unmixing",
Proceedings of the
11th
IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2013),
Toulouse, France,
June 24-26, 2013.
A. Selloum,
Y. Deville,
H. Carfantan,
"Separation of stellar spectra from hyperspectral
images using particle filtering constrained by a
parametric spatial mixing model",
Proceedings of the
11th
IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2013),
Toulouse, France,
June 24-26, 2013.
D. Benachir,
Y. Deville,
S. Hosseini, M. S. Karoui, A. Hameurlain,
"Hyperspectral image unmixing by non-negative matrix factorization
initialized with modified independent component analysis",
Proceedings of
the 5th
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS 2013),
Gainesville, Florida, USA,
25-28 June 2013.
M. S. Karoui,
Y. Deville,
S. Kreri,
"Joint nonnegative matrix factorization for hyperspectral and
multispectral remote sensing data fusion",
Proceedings of
the 5th
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS 2013),
Gainesville, Florida, USA,
25-28 June 2013.
O. Berné, A. Boulais,
Y. Deville,
C. Joblin, J. Pety, D. Teyssier, M. Gerin,
"NMF-based spectral unmixing of Herschel observations
of the horsehead nebula",
Proceedings of
the 5th
Workshop on Hyperspectral Image and Signal Processing
(WHISPERS 2013),
Gainesville, Florida, USA,
25-28 June 2013.
I. Meganem, S. Hosseini,
Y. Deville,
"Positivity-based separation of stellar spectra using a parametric
mixing model"
(invited paper in special session on "New Frontiers in Signal Separation"),
Proceedings of
the 21st
European Signal Processing Conference
(EUSIPCO 2013),
Marrakech, Morocco, Sept. 9-13, 2013.
Y. Deville,
A. Deville,
"A quantum-feedforward and classical-feedback separating structure
adapted with monodirectional measurements;
blind qubit uncoupling capability and links with ICA",
Proceedings of the
23rd
IEEE International Workshop on
Machine Learning for Signal Processing
(MLSP 2013)
(including track on Latent Variable Analysis: LVA),
Southampton, United Kingdom,
Sept. 22-25, 2013.
T. Billard, T. Lebey, P. Castelan,
Y. Deville,
"Partial discharge monitoring in twisted pair using non-intrusive sensors:
numerical analysis",
Proceedings of the
2013 IEEE Conference on Electrical Insulation and Dielectric Phenomena
(IEEE-CEIDP 2013),
vol. 2, 8B-33,
Shenzhen, China,
Oct. 20-23, 2013.
L. Jarboui, S. Hosseini,
Y. Deville,
R. Guidara,
A. Ben Hamida,
"A new unsupervised method for hyperspectral
image unmixing using a linear-quadratic model",
Proceedings of the First International Conference of Advanced Technologies
for Signal and Image Processing
(ATSIP 2014),
pp. 423-428,
Sousse, Tunisia, March 17-19, 2014.
D. Benachir,
Y. Deville,
S. Hosseini,
"Blind spatial unmixing of multispectral images: an approach
based on two-source sparsity and geometrical properties",
Proceedings of
the 2014 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2014),
pp. 3195-3199,
Florence, Italy,
May 4-9, 2014.
Y. Deville,
A. Deville,
"Blind qubit state disentanglement with quantum processing: principle, criterion and algorithm using measurements along two directions",
Proceedings of
the 2014 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2014),
pp. 6262-6266,
Florence, Italy,
May 4-9, 2014.
Y. Deville,
C. Revel, X. Briottet, V. Achard,
"Characterization of hyperspectral images prior to unmixing,
based on eigendecompositions and sum-to-one condition"
(invited paper in special session on
"Recent Advances in Spectral Unmixing of Hyperspectral Data"),
Proceedings of
the 6th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2014), Lausanne, Switzerland, June 24-27, 2014.
C. Revel,
Y. Deville,
V. Achard, X. Briottet,
"A method based on nonnegative matrix factorization dealing with
intra-class variability for hyperspectral unmixing",
Proceedings of
the 7th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2015),
Tokyo, Japan, June 2-5, 2015.
A. Boulais,
Y. Deville,
O. Berné,
"A geometrical blind separation method for unconstrained-sum
locally dominant sources",
Proceedings of the
12th
IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2015),
pp. 60-65,
Liberec, Czech Republic,
June 22-24, 2015.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
A. Ouamri,
"Hyperspectral data multi-sharpening based on linear-quadratic
nonnegative matrix factorization",
Proceedings of
the 2015 IEEE International
Geoscience and Remote Sensing Symposium (IGARSS
2015),
pp. 3290-3293,
Milan, Italy,
July 26-31, 2015.
Y. Deville,
L. T. Duarte,
"An overview of blind source separation methods for linear-quadratic and post-nonlinear mixtures"
(paper in invited special session),
Proceedings of
the 12th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2015),
Springer International Publishing Switzerland,
LNCS 9237, pp. 155-167,
Liberec, Czech Republic,
Aug. 25-28, 2015.
final version
Y. Deville,
A. Deville,
"From blind quantum source separation to blind quantum process tomography"
(paper in invited special session),
Proceedings of
the 12th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2015),
Springer International Publishing Switzerland,
LNCS 9237, pp. 184-192,
Liberec, Czech Republic,
Aug. 25-28, 2015.
final version
A. Selloum, S. Hosseini, T. Contini,
Y. Deville,
"Semi-blind
separation of galaxy spectra from a mixture obtained by slitless
spectroscopy",
Proceedings of
the 23rd
European Signal Processing Conference
(EUSIPCO 2015),
pp. 1671-1675,
Nice, France, Aug. 31 - Sept. 4, 2015.
Y. Deville,
"Matrix factorization for bilinear blind source separation:
methods, separability and conditioning",
Proceedings of
the 23rd
European Signal Processing Conference
(EUSIPCO 2015),
pp. 1945-1949,
Nice, France, Aug. 31 - Sept. 4, 2015.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
A. Ouamri,
"Local hyperspectral data multi-sharpening based on
linear/linear-quadratic nonnegative matrix
factorization by integrating lidar data",
Proceedings of
Image and Signal Processing for Remote Sensing XXI
SPIE conference,
vol. 9643,
pp. 96430Y-1 to 96430Y-9,
Toulouse, France,
Sept. 21, 2015.
L. Jarboui, S. Hosseini, R. Guidara,
Y. Deville,
A. Ben Hamida,
"A MAP-based NMF approach to hyperspectral image unmixing using a
linear-quadratic mixture model",
Proceedings of
the 2016 IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP 2016),
pp. 3356-3360,
Shanghai, China,
March, 20-25,
2016.
F. Z. Benhalouche,
Y. Deville,
M. S. Karoui, A. Ouamri,
"Bilinear matrix factorization using a gradient method for
hyperspectral endmember spectra extraction",
Proceedings of
the 2016 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2016),
pp. 6565-6568,
Beijing, China, July 10-15, 2016.
C. Revel,
Y. Deville,
V. Achard, X. Briottet,
"A linear-quadratic unsupervised hyperspectral unmixing method
dealing with intra-class variability",
Proceedings of
the 8th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2016),
Los Angeles, USA, August 21-24, 2016.
Y. Deville,
A. Deville,
"Fast disentanglement-based blind quantum source
separation and process tomography using a
feedforward quantum-classical adapting structure",
Proceedings of the
24th European Signal Processing Conference (EUSIPCO
2016),
Special Session on ``Reliable and Secure Quantum Communications'',
pp. 503-507,
Budapest, Hungary,
28 Aug. - 2 Sept. 2016.
Y.-M. Batany, D. Donno, L. T. Duarte,
H. Chauris,
Y. Deville,
J. M. T. Romano,
"A necessary and sufficient condition for
the blind extraction of the sparsest source
in convolutive mixtures",
Proceedings of the
24th European Signal Processing Conference (EUSIPCO
2016),
pp. 1628-1632,
Budapest, Hungary,
28 Aug. - 2 Sept. 2016.
F. Z. Benhalouche,
Y. Deville,
M. S. Karoui, A. Ouamri,
"Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method",
Proceedings of the
2016 IEEE International Workshop on Machine Learning for Signal Processing
(MLSP 2016),
pp. 1-6,
Salerno, Italy, Sept. 13-16, 2016.
S. Hosseini,
Y. Deville,
L. T. Duarte, A. Selloum,
"Extending NMF to blindly separate linear-quadratic
mixtures of uncorrelated sources",
Proceedings of the
2016 IEEE International Workshop on Machine Learning for Signal Processing
(MLSP 2016),
pp. 1-6,
Salerno, Italy, Sept. 13-16, 2016.
A. Selloum, S. Hosseini,
Y. Deville,
T. Contini,
"Mixing model in slitless spectroscopy and resulting
blind methods for separating galaxy spectra",
Proceedings of the
2016 IEEE International Workshop on Machine Learning for Signal Processing
(MLSP 2016),
pp. 1-6,
Salerno, Italy, Sept. 13-16, 2016.
S. Jay, M. Guillaume, A. Minghelli,
Y. Deville,
M. Chami, B. Lafrance,
V. Serfaty,
"Maximum likelihood estimation for hyperspectral remote sensing of coastal environments: a pixelwise approach",
Ocean Optics XXIII,
Victoria, British Columbia, Canada
Oct. 23-28, 2016.
Y. Deville,
A. Deville,
"Fast disentanglement-based blind quantum
source separation and process tomography:
a closed-form solution using a feedback
classical adapting structure",
Proceedings of
the 13th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2017),
Springer International Publishing AG 2017,
LNCS 10169, pp. 438-448,
Grenoble, France,
Feb. 21-23, 2017.
DOI: 10.1007/978-3-319-53547-0_41
A. Boulais,
Y. Deville,
O. Berné,
"A blind identification and source separation method based on subspace
intersections for
hyperspectral astrophysical data"
(invited paper in special oral session on
"Latent variable analysis in observation sciences"),
Proceedings of
the 13th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2017),
Springer International Publishing AG 2017,
LNCS 10169, pp. 367-380,
Grenoble, France,
Feb. 21-23, 2017.
DOI: 10.1007/978-3-319-53547-0_35
M. S. Karoui, S. Hosseini,
Y. Deville,
A. Ouamri, I. Meganem,
"Modified nonnegative matrix factorization for endmember spectra
extraction from highly
mixed hyperspectral images combined with multispectral data",
Proceedings of the 2017 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP 2017),
pp. 1572-1576,
New Orleans, LA, USA,
March 5-9, 2017.
DOI: 10.1109/ICASSP.2017.7952421
S. Jay, M. Guillaume, A. Minghelli,
Y. Deville,
M. Chami, B. Lafrance, V. Serfaty,
"A pixelwise maximum likelihood based method for
hyperspectral remote sensing of shallow waters",
10th EARSel SIG Imaging Spectroscopy Workshop
(EARSel 2017),
Zurich, Switzerland,
April 19-21, 2017.
M. Guillaume,
Y. Deville,
S. Jay, A. Minghelli,
M. Chami, B. Lafrance, V. Serfaty,
"Bottom estimation in shallow water: solving a high mixing level",
10th EARSel SIG Imaging Spectroscopy Workshop
(EARSel 2017),
Zurich, Switzerland,
April 19-21, 2017.
C. Revel,
Y. Deville,
V. Achard, X. Briottet,
"Impact of the initialisation of a
blind unmixing method dealing
with intra-class variability"
(invited paper in special oral session on
``Environmental signal processing: new trends and applications''),
Proceedings of the 25th
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
(ESANN 2017),
pp. 227-232,
Bruges, Belgium, April 26-28, 2017.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
I. Boukerch, A. Ouamri,
"Multi-sharpening hyperspectral remote sensing data
by multiplicative joint-criterion linear-quadratic
nonnegative matrix factorization",
Proceedings of the
2017 IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2017),
pp. 13-18,
Donostia - San Sebastian, Spain,
May 24-26, 2017.
Y. Deville,
A. Deville,
"Blind quantum source separation and process tomography
systems for time-varying coupling",
Proceedings of the
2017
IEEE
International Workshop on
Electronics, Control, Measurement, Signals and their application to Mechatronics
(ECMSM 2017),
pp. 75-80,
Donostia - San Sebastian, Spain,
May 24-26, 2017.
Y. Deville,
A. Deville,
"The blind version of quantum process
tomography: operating with unknown
input values",
Proceedings of the
20th World Congress of the International Federation of Automatic Control
(IFAC 2017)
(open invited track on Modelling, identification and control of
quantum systems),
pp. 12228-12234,
Toulouse, France, July 9-14, 2017.
final version
Y. K. Benkouider, M. S. Karoui,
Y. Deville,
S. Hosseini,
"A new multiplicative nonnegative matrix factorization method for
unmixing hyperspectral images combined with multispectral data",
Proceedings of the
25th European Signal Processing Conference (EUSIPCO 2017),
pp. 513-517,
Kos island, Greece,
28 Aug. - 2 Sept. 2017.
Y. Deville,
A. Deville, S. Rebeyrol, A. Mansour,
"Analytical performance analysis for blind quantum
source separation with time-varying coupling",
Proceedings of the
23rd IEEE Asia-Pacific Conference on Communications (APCC 2017),
Perth, Australia,
Dec. 11-13, 2017.
DOI: 10.23919/APCC.2017.8303976.
A. Guerrero,
Y. Deville,
S. Hosseini,
"A blind source separation method
based on output nonlinear
correlation for bilinear mixtures",
Proceedings of the
14th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2018),
Springer International Publishing AG,
part of Springer Nature 2018,
LNCS 10891,
pp. 183-192,
Guildford, UK,
July 2-5, 2018.
D. G. Fantinato, L. T. Duarte,
Y. Deville,
C. Jutten, R. Attux, A. Neves,
"Using taylor series expansions and
second-order statistics for blind source
separation in post-nonlinear mixtures",
Proceedings of the
14th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2018),
Springer International Publishing AG,
part of Springer Nature 2018,
LNCS 10891,
pp. 193-203,
Guildford, UK,
July 2-5, 2018.
Y. Deville,
A. Deville,
"New classes of blind quantum source separation
and process tomography methods based on spin
component measurements along two directions",
Proceedings of the
14th International Conference on Latent Variable Analysis
and
Signal Separation (LVA/ICA 2018),
Springer International Publishing AG,
part of Springer Nature 2018,
LNCS 10891,
pp. 204-214,
Guildford, UK,
July 2-5, 2018.
C. Weber, R. Aguejdad, X. Briottet, J. Avala, S. Fabre, J. Demuynck,
E. Zenou,
Y. Deville,
M. S. Karoui, F. Z. Benhalouche, S. Gadal,
W. Ourghemmi, C. Mallet, A. Le Bris, N. Chehata,
"Hyperspectral imagery for environmental urban planning",
Proceedings of the
2018 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2018),
pp. 1628-1631,
Valencia, Spain,
July 22-27, 2018.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
K. Djerriri,
X. Briottet, A. Le Bris,
"Detection and area estimation for photovoltaic panels in urban
hyperspectral remote sensing data by an original NMF-based unmixing
method",
Proceedings of the
2018 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2018),
pp. 1640-1643,
Valencia, Spain,
July 22-27, 2018.
Y. Deville,
A. Deville,
"Stochastic quantum information processing, with applications to
blind quantum system identification and source separation",
Proceedings of the
2018 IEEE 28th International Workshop on Machine Learning for
Signal Processing
(MLSP 2018),
Aalborg, Denmark,
Sept. 17-20, 2018.
M. Guillaume, L. Juste, X. Lenot,
Y. Deville,
B. Lafrance,
M. Chami, S. Jay, A. Minghelli, X. Briottet and V. Serfaty,
"NMF hyperspectral unmixing of the sea bottom: influence of the
adjacency effects, model and method",
Proceedings of
the 9th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2018),
Amsterdam, The Netherlands,
Sept. 23-26, 2018.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
"Linear-quadratic NMF-based urban hyperspectral data unmixing with
some known endmembers",
Proceedings of
the 9th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2018),
Amsterdam, The Netherlands,
Sept. 23-26, 2018.
Y. K. Benkouider, F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
S. Hosseini,
"Bilinear matrix factorization using a gradient method for unmixing
hyperspectral images combined with multispectral data",
Proceedings of
the 9th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2018),
Amsterdam, The Netherlands,
Sept. 23-26, 2018.
M. Chami, S. Jay, M. Guillaume, A. Minghelli,
Y. Deville,
B. Lafrance,
V. Serfaty,
"Use of Cramer-Rao bounds approach to predict the minimum uncertainties
in the inversion of ocean color optical properties",
Ocean Optics XXIV,
Dubrovnik, Croatia,
Oct. 7-12, 2018.
S. Esmaeiloghli, S. H. Tabatabaei, S. Hosseini,
Y. Deville,
"Contribution of deflation-based FastICA to the separation of
geochemical signals in the field of mining geochemistry: A case
study on the Kuh Panj porphyry system, Kerman, Iran",
Proceedings of the
2nd International Conference on
Trans-disciplinary Research on Iranian Geology, Geodynamics, Earthquakes and
Resources (TRIGGER 2018),
Tehran, Iran, Nov. 12-14, 2018.
A. Guerrero, S. Hosseini,
Y. Deville,
Y. Deville,
T. Contini, T. Grégoire,
"A new separation method for galaxy spectra based on data fusion
between two grism orders in slitless spectroscopy"
Proceedings of the
2019 IEEE International Conference on Acoustics Speech and Signal Processing
(ICASSP 2019),
pp. 4245-4249,
Brighton, UK,
May 12-17,
2019.
Y. Deville,
S.E. Brezini, F.Z. Benhalouche, M.S. Karoui, M. Guillaume,
X. Lenot,
B. Lafrance, M. Chami, S. Jay, A. Minghelli, X. Briottet, V. Serfaty,
"Hyperspectral oceanic remote sensing with adjacency effects:
from spectral-variability-based modeling
to performance of associated blind unmixing methods",
Proceedings of
the 2019 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2019),
pp. 282-285,
Yokohama, Japan,
July 28 - Aug. 2, 2019.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
"An NMF-based approach for hyperspectral unmixing using a new
multiplicative-tuning linear
mixing model to address spectral variability",
Proceedings of the
27th European Signal Processing Conference (EUSIPCO 2019),
A Coruna, Spain,
Sept. 2-6, 2019.
S. Rebeyrol,
Y. Deville,
V. Achard, X. Briottet, S. May,
"A new hyperspectral unmixing method using co-registered
hyperspectral and panchromatic images",
Proceedings of
the 10th
Workshop on Hyperspectral Image and Signal Processing:
Evolution in Remote Sensing
(WHISPERS 2019),
Amsterdam, The Netherlands,
Sept. 24-26, 2019.
S. E. Brezini, M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
A. Ouamri,
"A pixel-by-pixel NMF-based method for hyperspectral unmixing
using a new linear mixing model to address additively-tuned
spectral variability",
Proceedings of
SPIE Remote Sensing
(SPIE 11155, Image and Signal Processing for
Remote Sensing XXV),
paper
111550I,
Strasbourg, France,
7 Oct. 2019.
doi: 10.1117/12.2533159
S. E. Brezini, M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
A. Ouamri,
"An NMF-based method for hyperspectral unmixing using a structured
additively-tuned linear mixing model to address spectral variability",
Proceedings of the
Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2020
(M2GARSS 2020),
pp. 45-48,
Tunis, Tunisia,
March 9 - 11, 2020.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
K. Djerriri,
"A linear NMF-unmixing-based approach addressing spectral
variability for shadow compensation in hyperspectral remote
sensing data",
Proceedings of the
Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2020
(M2GARSS 2020),
pp. 121-124,
Tunis, Tunisia,
March 9 - 11, 2020.
F. Z. Benhalouche, O. Benabbou, M. S. Karoui,
L. W. Kebir,
Y. Deville,
"Detecting and mapping kaolinite in the Algerian central
Hoggar with a partial linear NMF-based unmixing method",
Proceedings of the
Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2020
(M2GARSS 2020),
pp. 204-207,
Tunis, Tunisia,
March 9 - 11, 2020.
Y. Deville,
S. Hosseini,
"Blind source separation methods based on output
nonlinear correlation for bilinear mixtures of an
arbitrary number of possibly correlated signals",
Proceedings of
the Eleventh IEEE Sensor Array and
Multichannel Signal Processing Workshop
(SAM 2020),
Hangzhou, China,
June 8-11, 2020.
Y. Constans, S. Fabre, M. Seymour, V. Crombez, X. Briottet,
Y. Deville,
"Fusion of hyperspectral and panchromatic data by spectral
unmixing in the reflective domain",
The International Archives of the Photogrammetry, Remote Sensing and
Spatial Information Sciences
(XXIV ISPRS Congress),
Vol. XLIII-B3-2020,
Virtual Conference,
2020.
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-567-2020
S. E. Brezini,
Y. Deville,
M. S. Karoui, F. Z. Benhalouche,
A. Ouamri,
"A penalization-based NMF approach for hyperspectral unmixing
addressing spectral variability with an additively-tuned mixing
model",
Proceedings of the
2021 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2021),
pp. 3841-3844,
Brussels, Belgium,
July 11-16,
2021,
doi: 10.1109/IGARSS47720.2021.9553366.
M. S. Karoui, F. Z. Benhalouche, S. E. Brezini,
Y. Deville,
Y. K. Benkouider,
"Hypersharpening by a multiplicative joint-criterion NMF method
addressing spectral variability",
Proceedings of the
2021 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2021),
pp. 4472-4475,
Brussels, Belgium,
July 11-16,
2021,
doi: 10.1109/IGARSS47720.2021.9553972.
F. Z. Benhalouche, O. Benabbou, L. W. Kebir,
A. Bennia, M. S. Karoui,
Y. Deville,
"An informed NMF-based unmixing approach for mineral
detection and mapping in the Algerian central Hoggar using
PRISMA remote sensing hyperspectral data",
Proceedings of the
2021 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2021),
pp. 1863-1866,
Brussels, Belgium,
July 11-16,
2021,
doi: 10.1109/IGARSS47720.2021.9553414.
F. Z. Benhalouche, M. S. Karoui,
Y. Deville,
"Gradient-based NMF methods for hyperspectral unmixing addressing
spectral variability with a multiplicative-tuning linear mixing
model",
Proceedings of the
2021 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2021),
pp. 3205-3208,
Brussels, Belgium,
July 11-16,
2021,
doi: 10.1109/IGARSS47720.2021.9554445.
Y. Constans, S. Fabre, H. Carfantan, M. Seymour, V. Crombez,
X. Briottet,
Y. Deville,
"Fusion of panchromatic and hyperspectral images in the reflective
domain by a combinatorial approach and application to
urban landscape",
Proceedings of the
2021 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2021),
pp. 2648-2651,
Brussels, Belgium,
July 11-16,
2021,
doi: 10.1109/IGARSS47720.2021.9554444.
F. Verdeil,
Y. Deville,
A. Deville,
"Two-qubit unitary quantum process tomography by multiple-delay
output measurements for one unknown input pure state value",
Proceedings of
the 2021
IEEE Statistical Signal Processing Workshop
(SSP 2021),
pp. 161-165,
Virtual - Rio de Janeiro, Brazil,
July, 11-14, 2021.
doi: 10.1109/SSP49050.2021.9513830.
F. Z. Benhalouche, M. S. Karoui, S. E. Brezini,
Y. Deville,
Y. K. Benkouider,
"Hypersharpening based on extended coupled nonnegative matrix
factorization addressing spectral variability",
Proceedings of the
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing
Symposium (M2GARSS 2022),
pp. 70-73,
Istanbul, Turkey,
March 07-09,
2022.
doi: 10.1109/M2GARSS52314.2022.9840261.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
"Hyperspectral unmixing with a modified augmented linear mixing
model addressing spectral variability",
Proceedings of the
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing
Symposium (M2GARSS 2022),
pp. 66-69,
Istanbul, Turkey,
March 07-09,
2022.
doi: 10.1109/M2GARSS52314.2022.9839710.
S. Hosseini,
Y. Deville,
"Blind separation of linear-quadratic mixtures of mutually
independent and autocorrelated sources",
Proceedings of the
2022 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP 2022), pp. 4383-4387,
May 23-27,
Singapore, Singapore,
2022.
doi: 10.1109/ICASSP43922.2022.9747493.
F. Z. Benhalouche, O. Benabbou, M. S. Karoui, L.
W. Kebir, A. Bennia,
Y. Deville,
"Minerals detection and mapping in the Southwestern Algeria
Gara-Djebilet region with a multistage informed NMF-based
unmixing approach using PRISMA remote sensing hyperspectral
data",
Proceedings of the
2022 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2022),
pp. 6422-6425,
Kuala Lumpur, Malaysia,
July 17-22,
2022.
doi: 10.1109/IGARSS46834.2022.9884746.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
"A gradient-based method for the modified augmented linear mixing
model addressing spectral variability for hyperspectral unmixing",
Proceedings of the
2022 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2022),
pp. 3279-3282,
Kuala Lumpur, Malaysia,
July 17-22,
2022.
doi: 10.1109/IGARSS46834.2022.9883849.
M. Bella, S. Hosseini, H. Saylani, T. Contini, T. Gregoire,
A. Guerrero,
Y. Deville,
"Decontamination of galaxy spectra using four dispersion directions",
Proceedings of the
30th European Signal Processing Conference (EUSIPCO 2022),
pp. 1981-1985,
Belgrade, Serbia,
Aug. 29 - Sept. 2,
2022,
doi: 10.23919/EUSIPCO55093.2022.9909916.
M. Bella, H. Saylani, S. Hosseini,
Y. Deville,
"Bin-Wise Combination of Time-Frequency Masking and Beamforming
for Convolutive Source Separation",
Proceedings of the
IEEE 24th International Workshop on Multimedia Signal Processing
(MMSP 2022),
pp. 1-6,
Shanghai, China,
Sept. 26-28,
2022,
doi: 10.1109/MMSP55362.2022.9949527.
F. Verdeil,
Y. Deville,
"Two unitary quantum process tomography algorithms
robust to systematic errors",
Proceedings of
the 41st International Workshop on Bayesian Inference and Maximum
Entropy Methods in Science and Engineering
(MaxEnt 2022),
Paris, France,
July 18-22, 2022,
DOI:
https://doi.org/10.3390/psf2022005029
F. Z. Benhalouche, O. Benabbou, O. Yahia, M. S. Karoui,
Y. Deville,
L. W. Kebir, A. Bennia,
"New informed linear mixing model and NMF-based unmixing
method addressing spectral variability with an application to
mineral detection and mapping using PRISMA hyperspectral remote
sensing data",
Proceedings of the
2023 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2023),
pp. 7539-7542,
Pasadena, CA, USA,
July 16-21,
2023,
doi: 10.1109/IGARSS52108.2023.10282207.
M. S. Karoui, F. Z. Benhalouche,
Y. Deville,
"A novel linear mixing model addressing spectral-spatial intra-class
variability with an associated penalized NMF-based hyperspectral
unmixing algorithm",
Proceedings of the
2023 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2023),
pp. 7535-7538,
Pasadena, CA, USA,
July 16-21,
2023,
doi: 10.1109/IGARSS52108.2023.10282659.
Y. Deville,
A. Deville,
"Blind processing methods for quantum channels:
identification, equalization and source separation",
Proceedings of the
2023 IEEE 33rd International Workshop on Machine Learning for
Signal Processing (MLSP 2023), pp. 1-6,
Rome, Italy,
Sept. 17-20,
2023,
doi: 10.1109/MLSP55844.2023.10285938.
Communications in international conferences without proceedings / Communications dans des conférences internationales sans actes
Y. Deville,
"Convergence properties of
Cichocki's extension of the Hérault-Jutten
source separation
neural network",
Tenth Annual Conference on Neural Information Processing Systems
(NIPS'96),
Workshop
on Blind Signal Processing,
Snowmass, Colorado, U.S.A, Dec. 6-7, 1996.
Joblin, C., Abergel, A., Bernard, J.-P., Berne, O., Boulanger, F.,
Cernicharo, J., Compiègne M.,
Deville, Y.,,
Gerin, M., Goicoechea, J.,
Habart, E., Le Bourlot, J., Maillard, J.-P., Rapacioli, M., Reach, W.,
Simon, A., Smith, J.-D., Teyssier, D., Verstraete, L.,
"Very Small
Particles and Chemistry in Photodissociation Regions: from ISO to
Spitzer",
IAU Symposium231: Astrochemistry Throughout the Universe: Recent
Successes and Current Challenges, Asilomar, California, USA,
Aug. 29 - Sept. 2, 2005.
Abstract:
version on conference server,
authors' final version
O. Berné, C. Joblin,
Y. Deville,
J.D. Smith, M. Rapacioli, J.P. Bernard,
J. Thomas, A. Abergel, W. Reach,
"Analysis of the mid-infrared emission of very small dust particles
from Spitzer IRS data using blind source separation methods",
Workshop
"Dust from fundamental studies to astronomical observations",
Les Houches, France,
April 30 - May 5,
2006.
O. Berné, C. Joblin,
Y. Deville,
E. Bayet, M. Rapacioli, J. P. Bernard,
M. Gerin,
"Disentangling the emission of very small dust particles: from galactic
PDRs to nearby galaxies",
Workshop
"Astronomy in the submillimeter and far infrared domains with
the Herschel Space Observatory",
Les Houches, France,
April 23 - May 4,
2007.
M. Puigt,
Y. Deville,
"Principles and performance of the LI-TIFROM software",
2008 Signal Separation Evaluation Campaign,
presented in the framework of (but not included in the
proceeding of)
the 8th
International Conference on
Independent Component Analysis and Signal Separation
(ICA 2009),
Paraty, Brazil, March 15-18, 2009.
Y. Deville,
A. Deville,
"Blind quantum computation
(i.e. unsupervised quantum processing): blind quantum source separation
and blind quantum process tomography",
19th Conference on
Quantum Information Processing
(QIP 2016),
Banff, Alberta, Canada,
Jan. 10-15, 2016.
related paper
Y. Deville,
A. Deville,
"Blind (i.e. Unsupervised) Quantum Process
Tomography: Identifying a Quantum
System with Unknown Input Values",
Conference on
Quantum Information Processing
(QIP 2018),
Delft, The Netherlands,
Jan. 15-19, 2018.
related paper
X. Lenot, M. Chami, M. Guillaume, B. Lafrance, X. Briottet, A. Minghelli,
S. Jay,
Y. Deville,
V. Serfaty,
``Modelling and quantifying the influence of adjacency effects on upward
subsurface radiance caused by the seabed and the water column in shallow
waters'',
European Space Agency's 2019 Living Planet Symposium,
Milan, Italy,
May 13-17, 2019.
Y. Deville,
"Separability/identifiability properties of low-rank matrix
factorization methods for bilinear mixtures of source signals",
2019 Signal Processing with Adaptive Sparse Structured Representations
workshop
(SPARS 2019),
Toulouse, France,
July 1-4, 2019.
Y. Deville,
A. Deville,
"Single-preparation unsupervised quantum process
tomography: concepts and application to the qubit pair
with exchange coupling",
2021
(virtual)
Conference on
Quantum Information Processing
(QIP 2021),
Munich, Germany,
Jan. 30 - Feb. 5,
2021.
Y. Deville,
A. Deville, A. Mansour, R. Scripcaru, C. Ioana,
"Statistical intrusion detection and eavesdropping
in quantum channels with coupling:
Multiple-preparation and single-preparation
methods",
Workshop on Security & Protection of Information (SPI21),
Brest, France,
June 21-23, 2021.
Communications in national conferences with proceedings / Communications dans des conférences nationales avec actes
Y. Deville,
M. Benali,
"Un critère de séparation de sources fondé sur les
kurtosis normalisés signés",
Proceedings of
GRETSI'99 symposium, vol. 4, pp. 1145-1148, Vannes, France, Sept. 13-17, 1999.
Y. Deville,
F. Abrard, M. Benali,
"A new source separation concept
and its validation on
a preliminary speech enhancement configuration",
Proceedings of
the 5th French Congress on Acoustics,
pp. 610-613,
Lausanne, Suisse, Sept. 3-6, 2000.
Y. Deville,
S. Savoldelli,
"Une approche différentielle
à l'ordre 2 pour la séparation de sources convolutive
sous-déterminée",
Proceedings of GRETSI'2001, Paper 083,
Toulouse,
France, Sept. 10-13, 2001.
F. Abrard,
Y. Deville,
"Séparation de sources en mélanges convolutifs :
une approche hybride applicable aux sources
colorées",
Proceedings of GRETSI'2001, Paper 297,
Toulouse,
France, Sept. 10-13, 2001.
A. Talon, E. Gonneau,
Y. Deville,
"Localisation de défauts en échographie ultrasonore :
étude comparative de méthodes de traitement du signal",
Proceedings of
the 6th French Congress on Acoustics,
pp. 372-375,
Lille, France,
April 8-11, 2002.
Y. Deville,
"Panorama des applications biomédicales des méthodes de
séparation aveugle de sources"
(invited paper in special session),
Proceedings of GRETSI'2003,
vol. 1, pp. 31-34,
Paris, France, Sept. 8-11, 2003.
author's copy of
proceedings version
B. Albouy,
Y. Deville,
"Méthode temps-fréquence de séparation aveugle de sources
basée sur la fonction de cohérence segmentée",
Proceedings of GRETSI'2003,
vol. 1, pp. 197-200,
Paris, France, Sept. 8-11, 2003.
homonymie ?
Berne, O., Joblin, C.,
Y. Deville,
Smith, J.D., Rapacioli, M.,
Bernard, J. P., Thomas, J.,
Reach, W. and Abergel, A.,
"Analysis of the emission of very small dust
particles from
Spitzer-IRS observations, using blind signal separation methods",
Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics
(SF2A-2006),
pp. 221-222,
Eds.: D. Barret, F. Casoli, G. Lagache, A. Lecavelier, L. Pagani,
EDP Sciences, les Ulis,
France,
2006.
on-line version
O. Berné,
Y. Deville,
C. Joblin,
"Identification des spectres infrarouges des populations de
poussière carbonées interstellaires par séparation aveugle
de sources",
Proceedings of
GRETSI 2007,
pp. 721-724,
Troyes, France, Sept. 11-14, 2007.
J. Thomas,
Y. Deville,
S. Hosseini,
"Un algorithme rapide à identification polynômiale
multivariable
pour la séparation aveugle d'images",
Proceedings of
GRETSI 2007,
pp. 997-1000,
Troyes, France, Sept. 11-14, 2007.
R. Guidara, S. Hosseini,
Y. Deville,
"Séparation aveugle de sources markoviennes
et non-stationnaires",
Proceedings of
GRETSI 2007,
pp. 1001-1004,
Troyes, France, Sept. 11-14, 2007.
H. Saylani,
S. Hosseini,
Y. Deville,
M. Habibi,
"Une nouvelle approche fréquentielle
pour la séparation aveugle de signaux non-stationnaires
et autocorrélés",
Proceedings of
GRETSI 2007,
pp. 1297-1300,
Troyes, France, Sept. 11-14, 2007.
C. Chaouchi,
Y. Deville,
S. Hosseini,
"Une structure récurrente pour la séparation
de mélanges quadratiques",
Proceedings of
GRETSI 2009,
Dijon, France,
Sept 8-11, 2009.
I. Meganem,
Y. Deville,
S. Hosseini, P. Déliot,
X. Briottet, L. T. Duarte,
"Méthode de Factorisation en Matrices Non négatives pour des mélanges
linéaires quadratiques",
Proceedings of
GRETSI 2011,
Bordeaux, France, Sept. 5-8, 2011.
R. A. Ando, L. T. Duarte, D. C. Soriano, R. Attux, R. Suyama,
Y. Deville,
C. Jutten,
"Recurrent Source Separation Structures as Iterative Methods
for Solving Nonlinear Equation Systems",
Proceedings of
XXX Simposio Brasileiro de Telecomunicacoes,
SBrT '12,
Sept.
13-16, 2012, Brasilia, Brazil.
O. Berné, C. Joblin,
Y. Deville,
P. Pilleri, J. Pety, D. Teyssier, M. Gerin, A. Fuente,
"Blind decomposition of Herschel-Hifi spectral maps of the NGC 7023
nebula",
Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics (SF2A),
pp. 507-512,
Eds.: S. Boissier, P. de Laverny, N. Nardetto, R. Samadi, D. Valls-Gabaud and H. Wozniak, 2012.
A. Selloum, E. Villeneuve, H. Carfantan,
Y. Deville,
"Séparation myope de sources stellaires à partir d'images
hyperspectrales par des méthodes bayésiennes :
filtre particulaire et MCMC",
Proceedings of GRETSI 2013,
Brest, France, Sept. 3-6, 2013.
L. Jarboui, S. Hosseini,
R. Guidara,
Y. Deville,
A. Ben Hamida,
"Séparation aveugle des mélanges linéaires-quadratiques
pour les images hyperspectrales urbaines",
Proceedings of
Traitement et Analyse de L'information, Méthodes et Applications
(TAIMA'2015),
Hammamet, Tunisie,
11-16 Mai, 2015.
A. Boulais,
Y. Deville,
O. Berné,
"Une méthode géométrique de démélange pour des images
hyperspectrales à pixels purs et somme d'abondances non contrainte",
Proceedings of
GRETSI 2015,
Lyon, Sept. 8-11, 2015.
H. E. Oliveira, L. T. Duarte,
Y. Deville,
J. M. T. Romano,
"Blind separation of sparse signals based on
deflation and using the differential evolution
algorithm",
Proceedings of
XXXIV Simposio Brasileiro de Telecomunicacoes,
SBrT 2016,
pp. 284-288,
Santarem,
Brazil,
Aug. 30 - Sept. 02,
2016.
A. Guerrero, S. Hosseini,
Y. Deville,
T. Contini, T. Grégoire,
``Séparation de spectres de galaxies basée sur la fusion de données de
deux ordres de grisme en spectroscopie sans fente'',
Proceedings of
GRETSI 2019,
Lille, France, Aug. 26-29, 2019.
M. Bella, H. Saylani, S. Hosseini,
Y. Deville,
"Séparation de sources en mélanges convolutifs
sous-déterminés
combinant masquage et formation de voie",
Proceedings of GRETSI 2022,
Nancy, France, Sept. 6-9, 2022.
M. Bella, S. Hosseini, H. Saylani, T. Contini, T. Grégoire, A.
Guerrero,
Y. Deville,
"Décontamination des spectres de galaxies en exploitant quatre
directions de dispersion",
Proceedings of GRETSI 2022,
Nancy, France, Sept. 6-9, 2022.
G. Jardim Pissinelli, L. Tomazeli Duarte,
Y. Deville,
"Uma abordagem geométrica para separação cega
de fontes em um modelo de mistura baseado na
integral de Choquet",
Proceedings of
XLI
Simpósio Brasileiro de Telecomunicações e Processamento de Sinais,
SBrT 2023,
São José Dos Campos, SP,
Brasil,
Out.
08-11, 2023.
DOI: 10.14209/sbrt.2023.1570923755
Arxiv documents and online reports /
Documents Arxiv et rapports en ligne
R. Guidara, S. Hosseini,
Y. Deville,
Non-stationary Markovian blind source separation. Solving estimating
equations using an equivariant Newton-Raphson algorithm, 2008,
online technical report.
Y. Deville,
A. Deville,
"Effect of indirect dependencies on
"Maximum likelihood blind separation of two quantum states (qubits)
with cylindrical-symmetry Heisenberg spin coupling"",
http://arxiv.org/abs/0906.0062
Y. Deville,
A. Deville,
S. Hosseini,
"Effect of indirect dependencies on
"A mutual information minimization approach for a class of nonlinear
recurrent separating systems"",
http://arxiv.org/abs/0910.4558
S. Hosseini,
Y. Deville,
"Correction to "Blind maximum likelihood separation of a linear-quadratic
mixture"",
http://arxiv.org/abs/1001.0863
A. Deville,
Y. Deville,
"Concepts and criteria for blind quantum source
separation",
arxiv on-line version,
authors' final version
C. Revel,
Y. Deville,
V. Achard, X. Briottet,
"Inertia-Constrained Pixel-by-Pixel Nonnegative
Matrix Factorisation: a Hyperspectral Unmixing
Method Dealing with Intra-class Variability",
arxiv on-line version,
authors' final version
A. Deville,
Y. Deville,
"N-qubit system in a pure state: a necessary and
sufficient condition for unentanglement",
available on-line at
https://arxiv.org/abs/1902.10417
arxiv on-line version,
authors' copy of on-line version
Y. Deville,
A. Deville,
"Quantum process tomography with unknown single-preparation input states",
available on-line at
https://arxiv.org/abs/1909.08401
arxiv on-line version,
authors' copy of on-line version
Y. Deville,
A. Deville,
"Single-preparation unsupervised quantum machine learning:
concepts and applications",
available on-line at
https://arxiv.org/abs/2101.01442
arxiv on-line version,
authors' copy of on-line version
Y. Deville,
A. Deville, A. Mansour, R. Scripcaru, C. Ioana,
"Statistical intrusion detection and eavesdropping
in quantum channels with coupling:
Multiple-preparation and single-preparation
methods",
available on-line at
https://arxiv.org/abs/2106.09280
arxiv on-line version,
authors' copy of on-line version
Y. Deville,
A. Deville,
"Beyond the density operator and $Tr(\rho \hat{A})$:
Exploiting the higher-order statistics of
random-coefficient pure states for quantum information processing",
available on-line at
https://arxiv.org/abs/2204.10031
arxiv on-line version,
authors' copy of on-line version
F. Verdeil,
Y. Deville,
"Pure state tomography with parallel unentangled measurements",
available on-line at
https://arxiv.org/abs/2208.04013
arxiv on-line version,
authors' copy of on-line version
Miscellaneous /
Divers
PATENTS / BREVETS :
More than 20 patents. Please contact me for more details.
One of these patents is provided here as an example:
Y. Deville,
"System for estimating signals received in the form of mixed signals",
United States Patent US005909646A.
pdf file
Plus de 20 brevets. Veuillez me contacter pour plus de détails.
Un de ces brevets est fourni ici à titre d'exemple :
Y. Deville,
"Système pour estimer des signaux reçus sous forme de signaux mélanges",
Brevet français, priorité 22.02.1995 FR 9502051.
Demande de brevet européen EP 0 729 037 A1.
fichier pdf
- PH.D / THESE :
Y. Deville,
"Filtres actifs RC hyperfréquences intégrés sur Arséniure de Gallium",
Thèse de l'Université Joseph Fourier, Grenoble I, 24 Février 1989.
Jury :
- M. Bouthinon (Président),
- G. Vernet (Rapporteur),
- P. Senn (Rapporteur),
- R.A. Perichon (Directeur de Thèse),
- V. Pauker (Co-Directeur de Thèse).
- HABILITATION A DIRIGER DES RECHERCHES :
Y. Deville,
"Algorithmes et architectures matérielles associées
pour le traitement de données",
Habilitation à Diriger des Recherches,
Institut National Polytechnique de Grenoble,
Grenoble, 26 Novembre 1996.
Jury :
- J.-L. Lacoume (Président),
- P. Garda (Rapporteur),
- J.-P. Nadal (Rapporteur),
- D. Collobert,
- J. Hérault (Rapporteur),
- G. Mazaré.