P. Comon, Independent component analysis, A new concept?, Signal Processing, vol.36, issue.3, pp.287-314, 1994.
DOI : 10.1016/0165-1684(94)90029-9

URL : https://hal.archives-ouvertes.fr/hal-00417283

A. Mansour and C. Jutten, A direct solution for blind separation of sources, IEEE Transactions on Signal Processing, vol.44, issue.3, pp.746-748, 1996.
DOI : 10.1109/78.489054

URL : https://hal.archives-ouvertes.fr/hal-00802361

A. Taleb and C. Jutten, Entropy optimization, Artificial Neural Networks -ICANN'97, pp.529-534, 1997.
DOI : 10.1007/BFb0020208

A. Hyvärinen and E. Oja, A Fast Fixed-Point Algorithm for Independent Component Analysis, Neural Computation, vol.9, issue.7, pp.1483-1492, 1997.
DOI : 10.1109/18.212280

D. Pham, Blind separation of instantaneous mixture of sources based on order statistics, IEEE Transactions on Signal Processing, vol.48, issue.2, pp.363-375, 2000.
DOI : 10.1109/78.823964

J. Pesquet and E. Moreau, Cumulant-based independence measures for linear mixtures, IEEE Transactions on Information Theory, vol.47, issue.5, pp.1947-1956, 2001.
DOI : 10.1109/18.930929

URL : https://hal.archives-ouvertes.fr/hal-00621746

J. Cardoso, Blind signal separation: statistical principles, Proceedings of the IEEE, pp.2009-2025, 1998.
DOI : 10.1109/5.720250

URL : http://www.cmap.polytechnique.fr/~peyre/cours/x2003signal/bss_tutorial.pdf

M. Novey and T. Adali, ICA by Maximization of Nongaussianity using Complex Functions, 2005 IEEE Workshop on Machine Learning for Signal Processing
DOI : 10.1109/MLSP.2005.1532868

URL : http://www.csee.umbc.edu/~adali/pubs/IEEEpubs/mlsp2005novey.pdf

D. Pham, Mutual information approach to blind separation of stationary sources, IEEE Transactions on Information Theory, vol.48, issue.7, pp.1935-1946, 2002.
DOI : 10.1109/TIT.2002.1013134

A. Keziou, H. Fenniri, M. O. Mohamed, and G. Delaunay, Séparations aveugle de sources par minimisation des ?-divergences, 2009.

P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent component analysis and applications, Academic press, 2010.

M. Rhabi, H. Fenniri, A. Keziou, and E. Moreau, A robust algorithm for convolutive blind source separation in presence of noise, Signal Processing, vol.93, issue.4, pp.818-827, 2013.
DOI : 10.1016/j.sigpro.2012.09.026

URL : https://hal.archives-ouvertes.fr/hal-01479806

A. Keziou, H. Fenniri, A. Ghazdali, and E. Moreau, New blind source separation method of independent/dependent sources, Signal Processing, vol.104, pp.319-324, 2014.
DOI : 10.1016/j.sigpro.2014.04.017

URL : https://hal.archives-ouvertes.fr/hal-01479801

M. Sahmoudi, H. Snoussi, and M. G. Amin, Robust approach for blind source separation in non-gaussian noise environments, Proceedings of ISCCSP

A. Belouchrani and A. Cichocki, Robust whitening procedure in blind source separation context, Electronics Letters, vol.36, issue.24, pp.2050-2051, 2000.
DOI : 10.1049/el:20001436

URL : http://www.bsp.brain.riken.go.jp/publications/2000/belcia_el2000.pdf

M. Rhabi, H. Fenniri, A. Keziou, and E. Moreau, A robust algorithm for convolutive blind source separation in presence of noise, Signal Processing, vol.93, issue.4, pp.818-827, 2013.
DOI : 10.1016/j.sigpro.2012.09.026

URL : https://hal.archives-ouvertes.fr/hal-01479806

A. Sklar, Fonctions de répartitionrépartition`répartitionà n dimensions et leurs marges, Publ. Inst. Statist. Univ. Paris, vol.8, pp.229-231, 1959.

R. B. Nelsen, An introduction to copulas, 2006.
DOI : 10.1007/978-1-4757-3076-0

H. Joe, Multivariate models and dependence concepts, of Monographs on Statistics and Applied Probability, 1997.

L. Evans and R. Gariepy, Measure theory and fine properties of function, Studies in Advanced Mathematics

A. Cohen, D. Wolfgang, I. Daubechies, and R. Devore, Harmonic Analysis of the space BV, Revista Matem??tica Iberoamericana, vol.19, issue.1, pp.235-263, 2003.
DOI : 10.4171/RMI/345

X. Chen and Y. Fan, Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification, Journal of Econometrics, vol.135, issue.1-2, pp.125-154, 2006.
DOI : 10.1016/j.jeconom.2005.07.027

H. Tsukahara, Semiparametric estimation in copula models, Canad, J. Statist, vol.33, issue.3, 2005.
DOI : 10.1002/cjs.5540330304

A. Chambolle, An algorithm for total variation minimization and applications, Journal of Mathematical imaging and vision, vol.20, issue.12, pp.89-97, 2004.

M. Omelka, I. Gijbels, and N. Veraverbeke, Improved kernel estimation of copulas: Weak convergence and goodness-of-fit testing, The Annals of Statistics, vol.37, issue.5B, pp.3023-3058, 2009.
DOI : 10.1214/08-AOS666

URL : http://doi.org/10.1214/08-aos666

B. W. Silverman, Density estimation for statistics and data analysis, Monographs on Statistics and Applied Probability, 1986.