J. Hérault, C. Jutten, and B. Ans, Détection de grandeurs primitives dans un message composite par une architecture neuromimétique en apprentissage non supervisé, Actes 10ème Colloque GRETSI, pp.1017-1022, 1985.

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

. Amari, Natural Gradient Works Efficiently in Learning, Neural Computation, vol.37, issue.2, pp.251-276, 1998.
DOI : 10.1103/PhysRevLett.76.2188

D. T. Pham and P. Garat, Blind separation of mixture of independent sources through a quasi-maximum likelihood approach, IEEE Transactions on Signal Processing, vol.45, issue.7, pp.1712-1725, 1997.
DOI : 10.1109/78.599941

URL : https://hal.archives-ouvertes.fr/hal-01485511

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.7237

P. Comon, Tensor diagonalization, a useful tool in signal processing, Proc. IFAC-SYSID, 10th IFAC Symposium on System Identification, pp.77-82, 1994.
URL : https://hal.archives-ouvertes.fr/hal-00561523

R. A. Wiggins, Minimum entropy deconvolution, Geoexploration, vol.16, issue.1-2, pp.21-35, 1978.
DOI : 10.1016/0016-7142(78)90005-4

D. Donoho, ON MINIMUM ENTROPY DECONVOLUTION, Proc. 2nd Applied Time Series Analysis Symposium, pp.565-608, 1980.
DOI : 10.1016/B978-0-12-256420-8.50024-1

O. Shalvi and E. Weinstein, New criteria for blind deconvolution of nonminimum phase systems (channels), IEEE Transactions on Information Theory, vol.36, issue.2, pp.312-321, 1990.
DOI : 10.1109/18.52478

N. Delfosse and P. Loubaton, Adaptive blind separation of independent sources: A deflation approach, Signal Processing, vol.45, issue.1, pp.59-83, 1995.
DOI : 10.1016/0165-1684(95)00042-C

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

Z. Ding and T. Nguyen, Stationary points of a kurtosis maximization algorithm for blind signal separation and antenna beamforming, IEEE Transactions on Signal Processing, vol.48, issue.6, pp.1587-1596, 2000.
DOI : 10.1109/78.845917

C. B. Papadias, Globally convergent blind source separation based on a multiuser kurtosis maximization criterion, IEEE Transactions on Signal Processing, vol.48, issue.12, pp.3508-3519, 2000.
DOI : 10.1109/78.887044

J. K. Tugnait, Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria, IEEE Transactions on Signal Processing, vol.45, issue.3, pp.658-672, 1997.
DOI : 10.1109/78.558482

A. Hyvärinen, One-unit contrast functions for independent component analysis: a statistical analysis, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop, pp.388-397, 1997.
DOI : 10.1109/NNSP.1997.622420

S. Bermejo, Finite sample effects in higher order statistics contrast functions for sequential blind source separation, IEEE Signal Processing Letters, vol.12, issue.6, pp.481-484, 2005.
DOI : 10.1109/LSP.2005.849489

A. Hyvärinen, Fast and robust fixed-point algorithms for independent component analysis, IEEE Transactions on Neural Networks, vol.10, issue.3, pp.626-634, 1999.
DOI : 10.1109/72.761722

S. Bermejo, Finite sample effects of the fast ICA algorithm, Neurocomputing, vol.71, issue.1-3, pp.392-399, 2007.
DOI : 10.1016/j.neucom.2006.09.015

A. K. Nandi and E. , Blind Estimation Using Higher-Order Statistics, 1999.
DOI : 10.1007/978-1-4757-2985-6

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

S. C. Douglas, On the convergence behavior of the FastICA algorithm, Proc. ICA-2003, 4th International Symposium on Independent Component Analysis and Blind Signal Separation, pp.409-414, 2003.

P. Tichavsk´ytichavsk´y, Z. Koldovsk´ykoldovsk´y, 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. Oja and Z. Yuan, The FastICA Algorithm Revisited: Convergence Analysis, IEEE Transactions on Neural Networks, vol.17, issue.6, pp.1370-1381, 2006.
DOI : 10.1109/TNN.2006.880980

J. Cardoso and A. Souloumiac, Blind beamforming for non-gaussian signals, IEE Proceedings F Radar and Signal Processing, vol.140, issue.6, pp.362-370, 1993.
DOI : 10.1049/ip-f-2.1993.0054

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.5684

P. Comon and E. Moreau, Improved contrast dedicated to blind separation in communications, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.3453-3456, 1997.
DOI : 10.1109/ICASSP.1997.604607

X. Giannakapoulos, J. Karhunnen, and E. Oja, AN EXPERIMENTAL COMPARISON OF NEURAL ALGORITHMS FOR INDEPENDENT COMPONENT ANALYSIS AND BLIND SEPARATION, International Journal of Neural Systems, vol.09, issue.02, pp.99-114, 1999.
DOI : 10.1142/S0129065799000101

P. Chevalier, L. Albera, P. Comon, and A. Ferreol, Comparative performance analysis of eight blind source separation methods on radiocommunications signals, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004.
DOI : 10.1109/IJCNN.2004.1379913

Z. Koldovsk´ykoldovsk´y, P. Tichavsk´ytichavsk´y, and E. Oja, Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound, IEEE Transactions on Neural Networks, vol.17, issue.5, pp.1265-1277, 2006.
DOI : 10.1109/TNN.2006.875991

J. Cardoso, On the performance of orthogonal source separation algorithms, Proc. EUSIPCO-94, VII European Signal Processing Conference, pp.13-16, 1994.

E. Bingham and A. Hyvärinen, A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ANALYSIS OF COMPLEX VALUED SIGNALS, International Journal of Neural Systems, vol.10, issue.01, pp.1-8, 2000.
DOI : 10.1142/S0129065700000028

T. Ristaniemi and J. Joutsensalo, Advanced ICA-based receivers for block fading DS-CDMA channels, Signal Processing, vol.82, issue.3, pp.417-431, 2002.
DOI : 10.1016/S0165-1684(01)00194-3

S. C. Douglas, Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, 2007.
DOI : 10.1109/78.747781

M. Novey and T. Adali, On Extending the Complex FastICA Algorithm to Noncircular Sources, IEEE Transactions on Signal Processing, vol.56, issue.5, pp.2148-2154, 2008.
DOI : 10.1109/TSP.2007.911278

H. Li and T. Adali, A class of complex ICA algorithms based on the kurtosis cost function, IEEE Transactions on Neural Networks, vol.19, issue.3, pp.408-420, 2008.

E. Moreau and O. Macchi, A one stage self-adaptive algorithm for source separation, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing
DOI : 10.1109/ICASSP.1994.390093

V. Zarzoso, P. Comon, and M. Kallel, How fast is FastICA, Proc. EUSIPCO-2006, XIV European Signal Processing Conference, 2006.

V. Zarzoso and P. Comon, Comparative Speed Analysis of FastICA, Proc. ICA-2007, 7th International Conference on Independent Component Analysis and Signal Separation, pp.9-12, 2007.
DOI : 10.1007/978-3-540-74494-8_37

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C. The Art of Scientific Computing, 1992.

A. M. Kuzminskiy, Automatic choice of the adaption coefficient under nonstationary conditions, Radioelectronics and Communications Systems, vol.25, issue.4, pp.72-74, 1982.

Y. Huang, J. Benesty, and J. Chen, Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification, IEEE Signal Processing Letters, vol.12, issue.3, pp.173-176, 2005.
DOI : 10.1109/LSP.2004.842286

N. D. Gaubitch, M. Hasan, and P. A. Naylor, Generalized Optimal Step-Size for Blind Multichannel LMS System Identification, IEEE Signal Processing Letters, vol.13, issue.10, pp.624-627, 2006.
DOI : 10.1109/LSP.2006.876341

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.725

S. Amari and A. Cichocki, Adaptive blind signal processing-neural network approaches, Proceedings of the IEEE, pp.2026-2048, 1998.
DOI : 10.1109/5.720251

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.1631

S. Cruces-alvarez, A. Cichocki, and S. Amari, From Blind Signal Extraction to Blind Instantaneous Signal Separation: Criteria, Algorithms, and Stability, IEEE Transactions on Neural Networks, vol.15, issue.4, pp.859-873, 2004.
DOI : 10.1109/TNN.2004.828764

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.7217

L. C. Khor, W. L. Woo, and S. S. Dlay, Nonlinear blind signal separation with intelligent controlled learning, IEE Proceedings -Vision, Image and Signal Processing, pp.297-306, 2005.
DOI : 10.1049/ip-vis:20041075

P. A. Regalia, A finite-interval constant modulus algorithm, Proc. ICASSP-2002, 27th International Conference on Acoustics, Speech and Signal Processing, pp.2285-2288, 2002.
DOI : 10.1109/icassp.2002.5745101

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.3342

P. A. Regalia and E. Kofidis, Monotonic convergence of fixed-point algorithms for ICA, IEEE Transactions on Neural Networks, vol.14, issue.4, pp.943-949, 2003.
DOI : 10.1109/TNN.2003.813843

URL : https://hal.archives-ouvertes.fr/hal-01345079

V. Zarzoso and P. Comon, Blind channel equalization with algebraic optimal step size, Proc. EUSIPCO-2005, XIII European Signal Processing Conference, 2005.
DOI : 10.1109/icassp.2005.1415775

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.4992

D. H. Brandwood, A complex gradient operator and its application in adaptive array theory, IEE Proceedings F: Communications Radar and Signal Processing, pp.11-16, 1983.

D. N. Godard, Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems, IEEE Transactions on Communications, vol.28, issue.11, pp.1867-1875, 1980.
DOI : 10.1109/TCOM.1980.1094608

O. Grellier and P. Comon, Blind separation of discrete sources, IEEE Signal Processing Letters, vol.5, issue.8, pp.212-214, 1998.
DOI : 10.1109/97.704975

V. Zarzoso and P. Comon, Robust independent component analysis, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00339616

V. Fuster, L. E. Rydén, D. S. Cannom, H. J. Crijns, and A. B. Curtis, ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation: executive summary, Journal of the American College of Cardiology, vol.38, issue.4, pp.700-752, 2006.
DOI : 10.1016/S0735-1097(01)01587-X

A. Bollmann, D. Husser, L. Mainardi, F. Lombardi, and P. Langley, Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications, Europace, vol.8, issue.11, pp.911-926, 2006.
DOI : 10.1093/europace/eul113

F. Castells, J. J. Rieta, J. Millet, and V. Zarzoso, Spatiotemporal Blind Source Separation Approach to Atrial Activity Estimation in Atrial Tachyarrhythmias, IEEE Transactions on Biomedical Engineering, vol.52, issue.2, pp.258-267, 2005.
DOI : 10.1109/TBME.2004.840473

URL : https://hal.archives-ouvertes.fr/hal-00543149

J. J. Rieta, F. Castells, C. Sánchez, V. Zarzoso, and J. Millet, Atrial Activity Extraction for Atrial Fibrillation Analysis Using Blind Source Separation, IEEE Transactions on Biomedical Engineering, vol.51, issue.7, pp.1176-1186, 2004.
DOI : 10.1109/TBME.2004.827272

A. Belouchrani, K. Abed-meraim, J. Cardoso, and E. Moulines, A blind source separation technique using second-order statistics, IEEE Transactions on Signal Processing, vol.45, issue.2, pp.434-444, 1997.
DOI : 10.1109/78.554307

M. G. Jafari and J. A. Chambers, Fetal Electrocardiogram Extraction by Sequential Source Separation in the Wavelet Domain, IEEE Transactions on Biomedical Engineering, vol.52, issue.3, pp.390-400, 2005.
DOI : 10.1109/TBME.2004.842958