| From Bernoulli–Gaussian deconvolution to sparse signal restoration C Soussen, J Idier, D Brie, J Duan IEEE Transactions on Signal Processing 59 (10), 4572-4584, 2011 | 212 | 2011 |
| Joint k-step analysis of orthogonal matching pursuit and orthogonal least squares C Soussen, R Gribonval, J Idier, C Herzet IEEE Transactions on Information Theory 59 (5), 3158-3174, 2013 | 112 | 2013 |
| Automated force volume image processing for biological samples P Polyakov, C Soussen, J Duan, JFL Duval, D Brie, G Francius PLoS One 6 (4), e18887, 2011 | 110 | 2011 |
| Homotopy based algorithms for -regularized least-squares C Soussen, J Idier, J Duan, D Brie IEEE Transactions on Signal Processing 63 (13), 3301-3316, 2015 | 62 | 2015 |
| Exact Recovery Conditions for Sparse Representations with Partial Support Information C Herzet, C Soussen, J Idier, R Gribonval IEEE Transactions on Information Theory 59 (11), 7509-7524, 2013 | 62 | 2013 |
| Homotopy based algorithms for l< sub> 0</sub>-regularized least-squares C Soussen, J Idier, J Duan, D Brie IEEE, 0 | 61* | |
| ROHSA: Regularized Optimization for Hyper-Spectral Analysis-Application to phase separation of 21 cm data A Marchal, MA Miville-Deschênes, F Orieux, N Gac, C Soussen, MJ Lesot, ... Astronomy & Astrophysics 626, A101, 2019 | 59 | 2019 |
| Polygonal and polyhedral contour reconstruction in computed tomography C Soussen, A Mohammad-Djafari IEEE Transactions on Image Processing 13 (11), 1507-1523, 2004 | 59 | 2004 |
| Generalized LASSO with under-determined regularization matrices J Duan, C Soussen, D Brie, J Idier, M Wan, YP Wang Signal Processing 127, 239-246, 2016 | 56 | 2016 |
| Flexible calibration of structured-light systems projecting point patterns A Ben-Hamadou, C Soussen, C Daul, W Blondel, D Wolf Computer Vision and Image Understanding 117 (10), 1468-1481, 2013 | 51 | 2013 |
| Fast Positive Deconvolution of Hyperspectral Images S Henrot, C Soussen, D Brie IEEE Transactions on Image Processing 22 (2), 828-833, 2013 | 50 | 2013 |
| Relaxed Recovery Conditions for OMP/OLS by Exploiting both Coherence and Decay C Herzet, A Drémean, C Soussen IEEE Transactions on Information Theory 62 (1), 459-470, 2016 | 43 | 2016 |
| Non-negative orthogonal greedy algorithms TT Nguyen, J Idier, C Soussen, EH Djermoune IEEE Transactions on Signal Processing 67 (21), 5643-5658, 2019 | 42 | 2019 |
| Sparse multidimensional modal analysis using a multigrid dictionary refinement S Sahnoun, EH Djermoune, C Soussen, D Brie EURASIP Journal on Advances in Signal Processing 2012 (60), 1-10, 2012 | 29 | 2012 |
| Ultrasonic non destructive testing based on sparse deconvolution C Soussen, J Idier, E Carcreff, L Simon, C Potel Journal of Physics: Conference Series 353 (1), 012018, 2012 | 28 | 2012 |
| NP-hardness of ℓ0 minimization problems: revision and extension to the non-negative setting TT Nguyen, C Soussen, J Idier, EH Djermoune 2019 13th International conference on Sampling Theory and Applications …, 2019 | 27 | 2019 |
| When does OMP achieve exact recovery with continuous dictionaries? C Elvira, R Gribonval, C Soussen, C Herzet Applied and Computational Harmonic Analysis, 2020 | 24* | 2020 |
| Omp and continuous dictionaries: Is k-step recovery possible? C Elvira, R Gribonval, C Soussen, C Herzet ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 24 | 2019 |
| Does Deblurring Improve Geometrical Hyperspectral Unmixing? S Henrot, C Soussen, M Dossot, D Brie IEEE Transactions on Image Processing 23 (3), 1169-1180, 2014 | 23 | 2014 |
| Sparse deconvolution: Comparison of statistical and deterministic approaches S Bourguignon, C Soussen, H Carfantan, J Idier 2011 IEEE Statistical Signal Processing Workshop (SSP), 317-320, 2011 | 19 | 2011 |
David BrieCRAN - Université de Lorraine在 univ-lorraine.fr 的电子邮件经过验证
