Yannick Deville
Cited by
Cited by
A time–frequency blind signal separation method applicable to underdetermined mixtures of dependent sources
F Abrard, Y Deville
Signal processing 85 (7), 1389-1403, 2005
Analysis of the emission of very small dust particles from Spitzer spectro-imagery data using blind signal separation methods
O Berne, C Joblin, Y Deville, JD Smith, M Rapacioli, JP Bernard, ...
Astronomy & Astrophysics 469 (2), 575-586, 2007
Linear–quadratic mixing model for reflectances in urban environments
I Meganem, P Déliot, X Briottet, Y Deville, S Hosseini
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 544-558, 2013
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures
Y Deville, M Puigt
Signal Processing 87 (3), 374-407, 2007
Linear-quadratic blind source separation using NMF to unmix urban hyperspectral images
I Meganem, Y Deville, S Hosseini, P Deliot, X Briottet
IEEE Transactions on Signal Processing 62 (7), 1822-1833, 2014
Time-domain fast fixed-point algorithms for convolutive ICA
J Thomas, Y Deville, S Hosseini
IEEE Signal Processing Letters 13 (4), 228-231, 2006
Time–frequency ratio-based blind separation methods for attenuated and time-delayed sources
M Puigt, Y Deville
Mechanical Systems and Signal Processing 19 (6), 1348-1379, 2005
An overview of blind source separation methods for linear-quadratic and post-nonlinear mixtures
Y Deville, LT Duarte
International Conference on Latent Variable Analysis and Signal Separation …, 2015
Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour
N Charkani, Y Deville
Signal Processing 73 (3), 225-254, 1999
Blind separation of dependent sources using the" time-frequency ratio of mixtures" approach
F Abrard, Y Deville
Seventh International Symposium on Signal Processing and Its Applications …, 2003
Hyperspectral remote sensing of shallow waters: Considering environmental noise and bottom intra-class variability for modeling and inversion of water reflectance
S Jay, M Guillaume, A Minghelli, Y Deville, M Chami, B Lafrance, ...
Remote Sensing of Environment 200, 352-367, 2017
Extended Red Emission and the evolution of carbonaceous nanograins in NGC 7023
O Berné, C Joblin, M Rapacioli, J Thomas, JC Cuillandre, Y Deville
Astronomy & Astrophysics 479 (3), L41-L44, 2008
Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints
MS Karoui, Y Deville, S Hosseini, A Ouamri
Pattern Recognition 45 (12), 4263-4278, 2012
From blind source separation to blind source cancellation in the underdetermined case: a new approach based on time-frequency analysis
F Abrard, Y Deville, P White
Proc. ICA 1, 734-739, 2001
Blind separation of linear-quadratic mixtures of real sources using a recurrent structure
S Hosseini, Y Deville
International Work-Conference on Artificial Neural Networks, 241-248, 2003
Blind source separation and blind mixture identification methods
Y Deville
Wiley Encyclopedia of Electrical and Electronics Engineering, 1-33, 2016
A unified stability analysis of the Hérault-Jutten source separation neural network
Y Deville
Signal Processing 51 (3), 229-233, 1996
Recurrent networks for separating extractable-target nonlinear mixtures. part i: Non-blind configurations
Y Deville, S Hosseini
Signal Processing 89 (4), 378-393, 2009
Hypersharpening by joint-criterion nonnegative matrix factorization
MS Karoui, Y Deville, FZ Benhalouche, I Boukerch
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1660-1670, 2016
Hyperspectral imagery for environmental urban planning
C Weber, R Aguejdad, X Briottet, J Avala, S Fabre, J Demuynck, E Zenou, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
The system can't perform the operation now. Try again later.
Articles 1–20