A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval et al., Audio Inpainting, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.3, pp.922-932, 2012.
DOI : 10.1109/TASL.2011.2168211
URL : https://hal.archives-ouvertes.fr/inria-00577079

T. O. Aydin, R. Mantiuk, K. Myszkowski, and H. Seidel, Dynamic range independent image quality assessment, In ACM Transactions on Graphics, vol.27, p.69, 2008.

D. P. Bertsekas, Nonlinear programming, Athena scientific Belmont, 1999.

T. Blumensath and M. E. Davies, Iterative hard thresholding for compressed sensing, Applied and Computational Harmonic Analysis, vol.27, issue.3, pp.265-274, 2009.
DOI : 10.1016/j.acha.2009.04.002

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends?? in Machine Learning, vol.3, issue.1, pp.1-122, 2011.
DOI : 10.1561/2200000016

B. Defraene, N. Mansour, S. De-hertogh, T. Van-waterschoot, M. Diehl et al., Declipping of Audio Signals Using Perceptual Compressed Sensing, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.12, pp.2627-2637, 2013.
DOI : 10.1109/TASL.2013.2281570

M. Elad, P. Milanfar, and R. Rubinstein, Analysis versus synthesis in signal priors, Inverse Problems, vol.23, issue.3, p.947, 2007.
DOI : 10.1088/0266-5611/23/3/007

Y. C. Eldar and G. Kutyniok, Compressed sensing: theory and applications, 2012.
DOI : 10.1017/CBO9780511794308

S. Foucart and H. Rauhut, A mathematical introduction to compressive sensing, 2013.
DOI : 10.1007/978-0-8176-4948-7

M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, RWC music database: Popular, classical and jazz music databases, ISMIR, pp.287-288, 2002.

M. J. Harvilla and R. M. Stern, Least squares signal declipping for robust speech recognition, 2014.

A. Janssen, R. Veldhuis, and L. Vries, Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.2, pp.317-330, 1986.
DOI : 10.1109/TASSP.1986.1164824

M. Kahrs and K. Brandenburg, Applications of digital signal processing to audio and acoustics, 1998.
DOI : 10.1007/b117882

S. Kiti´ckiti´c, N. Bertin, and R. Gribonval, Audio declipping by cosparse hard thresholding, iTwist-2nd international-Traveling Workshop on Interactions between Sparse models and Technology

S. Kiti´ckiti´c, L. Jacques, N. Madhu, M. P. Hopwood, A. Spriet et al., Consistent iterative hard thresholding for signal declipping, IEEE ICASSP, pp.5939-5943, 2013.

M. Kowalski, K. Siedenburg, and M. Dorfler, Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators, IEEE Transactions on Signal Processing, vol.61, issue.10, pp.612498-2511, 2013.
DOI : 10.1109/TSP.2013.2250967
URL : https://hal.archives-ouvertes.fr/hal-00691774

X. Li and L. J. Cimini, Effects of clipping and filtering on the performance of OFDM, 47th IEEE Vehicular Technology Conference, pp.1634-1638, 1997.

S. K. Naik and C. A. Murthy, Hue-preserving color image enhancement without gamut problem, IEEE Transactions on Image Processing, vol.12, issue.12, pp.1591-1598, 2003.
DOI : 10.1109/TIP.2003.819231

S. Nam, M. E. Davies, M. Elad, and R. Gribonval, The cosparse analysis model and algorithms, Applied and Computational Harmonic Analysis, vol.34, issue.1, pp.30-56, 2013.
DOI : 10.1016/j.acha.2012.03.006
URL : https://hal.archives-ouvertes.fr/inria-00602205

M. D. Plumbley, T. Blumensath, L. Daudet, R. Gribonval, and M. E. Davies, Sparse Representations in Audio and Music: From Coding to Source Separation, Proceedings of the IEEE, pp.995-1005, 2010.
DOI : 10.1109/JPROC.2009.2030345
URL : https://hal.archives-ouvertes.fr/inria-00489524

K. Siedenburg, M. Kowalski, and M. Dorfler, Audio declipping with social sparsity, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1577-1581, 2014.
DOI : 10.1109/ICASSP.2014.6853863
URL : https://hal.archives-ouvertes.fr/hal-01002998

Y. Tachioka, T. Narita, and J. Ishii, Speech recognition performance estimation for clipped speech based on objective measures, Acoustical Science and Technology, vol.35, issue.6, pp.324-326, 2014.
DOI : 10.1250/ast.35.324

A. J. Weinstein and M. B. Wakin, Recovering a clipped signal in sparseland, 2011.