 | 2011 |
| 11 |  | Yassir Moudden,
Jérôme Bobin:
Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints.
IEEE Transactions on Image Processing 20(3): 872-879 (2011) |
| 2009 |
| 10 |  | Yassir Moudden,
Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili:
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
ICA 2009: 523-531 |
| 9 |  | Jérôme Bobin,
Yassir Moudden,
Jean-Luc Starck,
Mohamed-Jalal Fadili:
Sparsity and morphological diversity for hyperspectral data analysis.
ICIP 2009: 1481-1484 |
| 8 |  | Jérôme Bobin,
Yassir Moudden,
Jalal Fadili,
Jean-Luc Starck:
Morphological Diversity and Sparsity for Multichannel Data Restoration.
Journal of Mathematical Imaging and Vision 33(2): 149-168 (2009) |
| 2007 |
| 7 |  | Jérôme Bobin,
Yassir Moudden,
Jalal Fadili,
Jean-Luc Starck:
Morphological Diversity and Sparsity in Blind Source Separation.
ICA 2007: 349-356 |
| 6 |  | Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili,
Yassir Moudden:
Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Transactions on Image Processing 16(11): 2662-2674 (2007) |
| 5 |  | Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili,
Yassir Moudden,
David L. Donoho:
Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Transactions on Image Processing 16(11): 2675-2681 (2007) |
| 2005 |
| 4 |  | Pierrick Abrial,
Jean-Luc Starck,
Yassir Moudden,
Mai K. Nguyen:
Curvelet transform on the sphere.
ICIP (1) 2005: 737-740 |
| 3 |  | Yassir Moudden,
Jean-François Cardoso,
Jean-Luc Starck,
Jacques Delabrouille:
Blind Component Separation in Wavelet Space: Application to CMB Analysis.
EURASIP J. Adv. Sig. Proc. 2005(15): 2437-2454 (2005) |
| 2004 |
| 2 |  | Abd-Krim Seghouane,
Yassir Moudden,
Gilles Fleury:
Regularizing the effect of input noise injection in feedforward neural networks training.
Neural Computing and Applications 13(3): 248-254 (2004) |
| 2002 |
| 1 |  | Arnaud Rivoira,
Yassir Moudden,
Gilles Fleury:
Real time Continuous AR parameter estimation from randomly sampled observations.
ICASSP 2002: 1725-1728 |