R. Gribonval and S. Lesage, A survey of sparse component analysis for blind source separation: Principles, perspectives, and new challenges, Proc. ESANN'06, pp.323-330, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00544897

P. Bofill and M. Zibulevsky, Underdetermined blind source separation using sparse representations, Signal Processing, vol.81, issue.11, pp.2353-2362, 2001.
DOI : 10.1016/S0165-1684(01)00120-7

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

M. Davies and N. Mitianoudis, Simple mixture model for sparse overcomplete ICA, IEE Proceedings - Vision, Image, and Signal Processing, vol.151, issue.1, pp.35-43, 2004.
DOI : 10.1049/ip-vis:20040304

M. Babaie-zadeh, C. Jutten, and A. Mansour, Sparse ICA via cluster-wise PCA, Neurocomputing, vol.69, issue.13-15, pp.1458-1466, 2006.
DOI : 10.1016/j.neucom.2005.12.022

URL : https://hal.archives-ouvertes.fr/hal-00097157

Y. Q. Li, S. Amari, A. Cichocki, D. W. Ho, and S. Xie, Underdetermined blind source separation based on sparse representation, IEEE Trans. Signal Process, vol.54, issue.2, pp.423-437, 2006.

H. Zayyani, M. Babaie-zadeh, and C. Jutten, Source Estimation in Noisy Sparse Component Analysis, 2007 15th International Conference on Digital Signal Processing, pp.219-222, 2007.
DOI : 10.1109/ICDSP.2007.4288558

URL : https://hal.archives-ouvertes.fr/hal-00173337

L. Vielva, D. Erdogmus, and C. Principe, Underdetermined blind source separation using a probabilistic source sparsity model, Proc. ICA'01, pp.675-679, 2001.

A. Prieto, B. Prieto, C. G. Puntonet, A. Canas, and P. Martin-smith, Geometric separation of linear mixtures of sources: Application to speech signals, Proc. ICA'99, pp.295-300, 1999.

N. Mitianoudis and T. Stathaki, Overcomplete source separation using Laplacian mixture models, IEEE Signal Processing Letters, vol.12, issue.4, pp.277-280, 2005.
DOI : 10.1109/LSP.2005.843759

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.7534

F. J. Theis, W. E. Lang, and C. G. Puntonet, A geometric algorithm for overcomplete linear ICA, Neurocomputing, vol.56, pp.381-398, 2004.
DOI : 10.1016/j.neucom.2003.09.008

W. Zhang, J. Liu, J. Sun, and S. Bai, A New Two-Stage Approach to Underdetermined Blind Source Separation using Sparse Representation, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.953-956, 2007.
DOI : 10.1109/ICASSP.2007.366839

J. F. Cardoso, Separation of non stationary sources; achievable performance, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496), pp.359-363, 2000.
DOI : 10.1109/SSAP.2000.870144

S. Degerine and A. Zaidi, Separation of an Instantaneous Mixture of Gaussian Autoregressive Sources by the Exact Maximum Likelihood Approach, IEEE Transactions on Signal Processing, vol.52, issue.6, pp.1492-1512, 2004.
DOI : 10.1109/TSP.2004.827195

P. Tichavsky, Z. Koldovsky, and E. Oja, Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis, IEEE Transactions on Signal Processing, vol.54, issue.4, pp.1189-1203, 2006.
DOI : 10.1109/TSP.2006.870561

E. Doron, A. Yeredor, and P. Tichavsky, Cramér–Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources, IEEE Signal Processing Letters, vol.14, issue.6, pp.417-420, 2007.
DOI : 10.1109/LSP.2006.888425

S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, 1993.