| 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 | 391 | 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 | 280 | 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 | 135 | 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 | 114 | 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 | 110 | 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 | 98 | 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 | 77 | 2005 |
| 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 | 69 | 1999 |
| 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 | 65 | 2015 |
| 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 | 64 | 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 | 59 | 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 | 57 | 2008 |
| 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 | 57 | 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 | 56 | 2003 |
| 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 | 52 | 2012 |
| A unified stability analysis of the Hérault-Jutten source separation neural network Y Deville Signal Processing 51 (3), 229-233, 1996 | 52 | 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 | 51 | 2009 |
| Blind source separation and blind mixture identification methods Y Deville Wiley Encyclopedia of Electrical and Electronics Engineering, 1-33, 2016 | 50* | 2016 |
| 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 | 47 | 2016 |
| Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data MS Karoui, FZ Benhalouche, Y Deville, K Djerriri, X Briottet, T Houet, ... Remote Sensing 11 (18), 2164, 2019 | 41 | 2019 |
Moussa Sofiane KarouiCentre des Techniques SpatialesE-mail confirmado em cts.asal.dz
