J. K. Wolf, Redundancy, the Discrete Fourier Transform, and Impulse Noise Cancellation, IEEE Transactions on Communications, vol.31, issue.3, pp.458-461, 1983.
DOI : 10.1109/TCOM.1983.1095820

F. Marvasti, M. Hassan, M. Echhart, and S. Talebi, Efficient algorithms for burst error recovery using FFT and other transform kernels, IEEE Transactions on Signal Processing, vol.47, issue.4, pp.1065-1075, 1999.
DOI : 10.1109/78.752604

F. Labeau, J. C. Chiang, M. Kieffer, P. Duhamel, L. Vandendorpe et al., Oversampled filter banks as error correcting codes, The 5th International Symposium on Wireless Personal Multimedia Communications, pp.4619-4630, 2005.
DOI : 10.1109/WPMC.2002.1088382

A. Gabay, O. Rioul, and P. Duhamel, Joint sourcechannel coding using structured oversampled filter banks applied to image transmission, proceeding ICASSP01, pp.2581-2584, 2001.

M. Zibulevsky and B. A. Pearlmutter, Blind Source Separation by Sparse Decomposition in a Signal Dictionary, Neural Computation, vol.1, issue.4, pp.863-882, 2001.
DOI : 10.1016/S0042-6989(97)00169-7

R. Gribonval and S. Lesage, A survey of sparse component analysis for blind source separation: principles, perspectives, and new challanges, proceeding ES- SAN'06, pp.323-330, 2006.

H. Zayyani, M. Babaie-zadeh, G. H. Mohimani, and C. Jutten, Sparse component analysis in presense of noise using an iterative EM-MAP algorithm, 2007.

E. J. Candes and T. Tao, Decoding by Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.12, pp.4203-4215, 2005.
DOI : 10.1109/TIT.2005.858979

E. J. Candes and J. Romberg, 1 magic: recovery of sparse signals via convex programming, 2005.