F. R. Bach and M. I. Jordan, Kernel independent component analysis, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.1-48, 2002.
DOI : 10.1109/ICASSP.2003.1202783

J. F. Cardoso, Blind signal separation: statistical principles, Proceedings of the IEEE, vol.86, issue.10, pp.2009-2025, 1998.
DOI : 10.1109/5.720250

J. F. Cardoso, High-Order Contrasts for Independent Component Analysis, Neural Computation, vol.140, issue.1, pp.157-192, 1999.
DOI : 10.1109/78.599941

J. F. Cardoso and B. H. Laheld, Equivariant adaptive source separation, IEEE Transactions on Signal Processing, vol.44, issue.12, pp.3017-3029, 1996.
DOI : 10.1109/78.553476

P. Comon, Independent component analysis, a new concept ? Signal Processing, pp.287-314, 1994.

J. Eriksson, A. Kankainen, and V. Koivunen, Novel characteristic function based criteria for ICA, Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation, ICA2001, pp.108-113, 2001.

P. Hall and S. C. Morton, On the estimation of entropy, Annals of the Institute of Statistical Mathematics, vol.38, issue.1, pp.69-88, 1993.
DOI : 10.1007/BF00773669

A. Hyvrinen, J. Karhunen, and E. Oja, Independent Component Analysis, 2001.

H. Joe, Estimation of entropy and other functionals of a multivariate density, Annals of the Institute of Statistical Mathematics, vol.2, issue.4
DOI : 10.1007/BF00057735

S. Kullback, Information theory and statistics, 1959.

D. Pham, Blind separation of instantaneous mixture of sources via an independent component analysis, IEEE Transactions on Signal Processing, vol.44, issue.11, pp.2768-2779, 1996.
DOI : 10.1109/78.542183

D. Pham, Flexible parametrisation of postnonlinear mixture model in blind source separation, IEEE Signal Processing Letters

A. Taleb and C. Jutten, Source separation in post-nonlinear mixtures, IEEE Transactions on Signal Processing, vol.47, issue.10, pp.2807-2820, 1999.
DOI : 10.1109/78.790661