H. Mohimani, M. Babaie-zadeh, and C. Jutten, A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed <formula formulatype="inline"><tex Notation="TeX">$\ell ^{0}$</tex></formula> Norm, IEEE Transactions on Signal Processing, vol.57, issue.1, pp.289-301, 2009.
DOI : 10.1109/TSP.2008.2007606

J. Proakis, Digital Communication, 2001.

C. Carbonelli, S. V. Mitra, and U. , Sparse channel estimation with zero tap detection, IEEE Trans. Communication, vol.6, issue.5, pp.1743-11754, 2007.

S. Cotter and B. Rao, Sparse channel estimation via matching pursuit with application to equalization, IEEE Transactions on Communications, vol.50, issue.3, pp.374-378, 2002.
DOI : 10.1109/26.990897

W. Li, S. V. Preisig, and J. , Estimation of Rapidly Time-Varying Sparse Channels, IEEE Journal of Oceanic Engineering, vol.32, issue.4, pp.927-940, 2007.
DOI : 10.1109/JOE.2007.906409

N. C. Mcginty, R. Kennedy, and P. Hoeher, Parallel trellis Viterbi algorithm for sparse channels, IEEE Communications Letters, vol.2, issue.5, pp.143-145, 1998.
DOI : 10.1109/4234.673661

B. Widrow and S. Streams, Adaptive Signal Processing, 1985.

J. Mietzner, S. Hoeher, I. Land, and P. Hoeher, Trellis-based equalization for sparse ISI channels revisited, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., pp.229-233, 2005.
DOI : 10.1109/ISIT.2005.1523328

S. Chen, D. Donoho, and M. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Review, vol.43, issue.1, pp.129-159, 2001.
DOI : 10.1137/S003614450037906X

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

A. Eftekhari, M. Babaie-zadeh, C. Jutten, and H. Moghaddam, Robust-SL0 for stable sparse representation in noisy settings, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3433-3436, 2009.
DOI : 10.1109/ICASSP.2009.4960363

URL : https://hal.archives-ouvertes.fr/hal-00400700