| A sparsity-based method for the estimation of spectral lines from irregularly sampled data S Bourguignon, H Carfantan, J Idier IEEE Journal of Selected Topics in Signal Processing 1 (4), 575-585, 2007 | 115 | 2007 |
| Exact sparse approximation problems via mixed-integer programming: Formulations and computational performance S Bourguignon, J Ninin, H Carfantan, M Mongeau IEEE Transactions on Signal Processing 64 (6), 1405-1419, 2015 | 106 | 2015 |
| SparSpec: a new method for fitting multiple sinusoids with irregularly sampled data S Bourguignon, H Carfantan, T Böhm Astronomy & Astrophysics 462 (1), 379-387, 2007 | 80 | 2007 |
| A Bayesian approach to the modelling of α Cen A M Bazot, S Bourguignon, J Christensen-Dalsgaard Monthly Notices of the Royal Astronomical Society 427 (3), 1847-1866, 2012 | 73 | 2012 |
| Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay VM Trenkel, L Berger, S Bourguignon, M Doray, R Fablet, J Massé, ... Aquatic Living Resources 22 (4), 433-445, 2009 | 66 | 2009 |
| Joint reconstruction strategy for structured illumination microscopy with unknown illuminations S Labouesse, A Negash, J Idier, S Bourguignon, T Mangeat, P Liu, ... IEEE Transactions on Image Processing 26 (5), 2480-2493, 2017 | 60 | 2017 |
| On the superresolution capacity of imagers using unknown speckle illuminations J Idier, S Labouesse, M Allain, P Liu, S Bourguignon, A Sentenac IEEE Transactions on Computational Imaging 4 (1), 87-98, 2017 | 49 | 2017 |
| Bernoulli-Gaussian spectral analysis of unevenly spaced astrophysical data S Bourguignon, H Carfantan IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 811-816, 2005 | 46 | 2005 |
| A linear model approach for ultrasonic inverse problems with attenuation and dispersion E Carcreff, S Bourguignon, J Idier, L Simon IEEE transactions on ultrasonics, ferroelectrics, and frequency control 61 …, 2014 | 42 | 2014 |
| An inverse approach for ultrasonic imaging from full matrix capture data: Application to resolution enhancement in NDT N Laroche, S Bourguignon, E Carcreff, J Idier, A Duclos IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020 | 37 | 2020 |
| Restoration of astrophysical spectra with sparsity constraints: Models and algorithms S Bourguignon, D Mary, É Slezak IEEE Journal of Selected Topics in Signal Processing 5 (5), 1002-1013, 2011 | 37 | 2011 |
| Global optimization for sparse solution of least squares problems R Ben Mhenni, S Bourguignon, J Ninin Optimization Methods and Software 37 (5), 1740-1769, 2022 | 30 | 2022 |
| Modeling the spatial PSF at the VLT focal plane for MUSE WFM data analysis purpose D Serre, E Villeneuve, H Carfantan, L Jolissaint, V Mazet, S Bourguignon, ... Adaptive Optics Systems II 7736, 1498-1509, 2010 | 25 | 2010 |
| Sparse branch and bound for exact optimization of l0-norm penalized least squares RB Mhenni, S Bourguignon, M Mongeau, J Ninin, H Carfantan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 22 | 2020 |
| Processing MUSE hyperspectral data: Denoising, deconvolution and detection of astrophysical sources S Bourguignon, D Mary, É Slezak Statistical Methodology 9 (1-2), 32-43, 2012 | 20 | 2012 |
| 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 | 20 | 2011 |
| Estimation of stellar parameters using Monte Carlo Markov Chains M Bazot, S Bourguignon, J Christensen-Dalsgaard arXiv preprint arXiv:0803.2529, 2008 | 20 | 2008 |
| Improvement of the total focusing method using an inverse problem approach E Carcreff, N Laroche, D Braconnier, A Duclos, S Bourguignon 2017 IEEE international ultrasonics symposium (IUS), 1-4, 2017 | 19 | 2017 |
| Methodological developments for improved bottom detection with the ME70 multibeam echosounder S Bourguignon, L Berger, C Scalabrin, R Fablet, V Mazauric ICES Journal of Marine Science 66 (6), 1015-1022, 2009 | 19 | 2009 |
| Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument S Bourguignon, D Mary, E Slezak 2010 2nd workshop on hyperspectral image and signal processing: Evolution in …, 2010 | 18 | 2010 |
