A. Gramfort, D. Strohmeier, J. Haueisen, M. S. Hämäläinen, and M. Kowalski, Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations, NeuroImage, vol.70, pp.410-422, 2013.
DOI : 10.1016/j.neuroimage.2012.12.051
URL : https://hal.archives-ouvertes.fr/hal-00773276

S. Chen, D. Donoho, and M. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1998.
DOI : 10.1137/S1064827596304010
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society Serie B, vol.58, issue.1, pp.267-288, 1996.

J. Da-costa, K. Liu, H. C. So, M. Roemer, and S. Schwarz, Generalized multidimensional prewhitening for enhanced signal reconstruction and parameter estimation, Signal Processing, 2013.

A. S. Dalalyan, M. Hebiri, K. Meziani, and J. Salmon, Learning heteroscedastic models by convex programming under group sparsity, Proc. ICML, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00813908

P. L. Combettes and V. R. Wajs, Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005.
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649

A. Beck and M. Teboulle, A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009.
DOI : 10.1137/080716542

A. Chambolle and C. Dossal, On the convergence of the iterates of fista, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01060130

P. Welch, The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE Transactions on Audio and Electroacoustics, vol.15, issue.2, pp.70-73, 1967.
DOI : 10.1109/TAU.1967.1161901

S. Winter, W. Kellermann, H. Sawada, and S. Makino, MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, p.24717, 2007.
DOI : 10.1109/TSP.2003.822284

H. Sawada, S. Araki, R. Mukai, and S. Makino, Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.5, pp.1592-1604, 2007.
DOI : 10.1109/TASL.2007.899218

M. Kowalski, E. Vincent, and R. Gribonval, Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation, Audio, Speech, and Language Processing, pp.1818-1829, 2010.
DOI : 10.1109/TASL.2010.2050089
URL : https://hal.archives-ouvertes.fr/hal-00435897

K. Lebart, J. Boucher, and P. Denbigh, A new method based on spectral subtraction for speech dereverberation, Acta Acustica united with Acustica, vol.87, issue.3, pp.359-366, 2001.

S. Haufe, V. V. Nikulin, A. Ziehe, K. Müller, and G. Nolte, Combining sparsity and rotational invariance in EEG/MEG source reconstruction, NeuroImage, vol.42, issue.2, pp.726-738, 2008.
DOI : 10.1016/j.neuroimage.2008.04.246

A. Gramfort, M. Kowalski, and M. S. Hämäläinen, Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, Physics in Medicine and Biology, vol.57, issue.7, pp.1937-1961, 2012.
DOI : 10.1088/0031-9155/57/7/1937
URL : https://hal.archives-ouvertes.fr/hal-00690774

R. R. Ramirez, B. H. Kopell, C. R. Butson, B. C. Hiner, and S. Baillet, Spectral signal space projection algorithm for frequency domain MEG and EEG denoising, whitening, and source imaging, NeuroImage, vol.56, issue.1, pp.78-92, 2011.
DOI : 10.1016/j.neuroimage.2011.02.002

J. Fan and R. Li, Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties, Journal of the American Statistical Association, vol.96, issue.456, pp.1348-1360, 2001.
DOI : 10.1198/016214501753382273
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.4174

K. Siedenburg, Persistent empirical wiener estimation with adaptive threshold selection for audio denoising, Proc. of the 9th Sound and Music Computing Conference, pp.426-433, 2012.