J. O. Smith, Physical audio signal processing: For virtual musical instruments and audio effects, 2010.

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

S. Kiti´ckiti´c, L. Jacques, N. Madhu, M. P. Hopwood, A. Spriet et al., Consistent iterative hard thresholding for signal declipping, Acoustics , Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, 2013.

A. M. Tillmann, R. Gribonval, and M. E. Pfetsch, Projection onto the cosparse set is NP-hard, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1303.
DOI : 10.1109/ICASSP.2014.6854987
URL : https://hal.archives-ouvertes.fr/hal-00802359

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

K. Siedenburg, M. Kowalski, and M. Dörfler, Audio declipping with social sparsity, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
DOI : 10.1109/ICASSP.2014.6853863
URL : https://hal.archives-ouvertes.fr/hal-01002998

M. Kowalski, K. Siedenburg, and M. Dörfler, Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators, IEEE Transactions on Signal Processing, vol.61, issue.10, 2012.
DOI : 10.1109/TSP.2013.2250967
URL : https://hal.archives-ouvertes.fr/hal-00691774