K. Abed-meraim, W. Qiu, and Y. Hua, Blind system identication, IEEE Processing, p.13101322, 1997.

S. Amari and A. Cichocki, A new learning algorithm for blind signal separation, ANIPS, p.757763, 1998.

S. Amari, Adaptive blind signal processing-neural network approaches, Proceeding of the IEEE, p.20262048, 1998.
DOI : 10.1109/5.720251

J. Anemüler and B. Kollmeier, Amplitude modulation decorrelation for convolutive blind source separation, Proceeding of ICA, p.215220, 2000.

M. Babaie-zadeh, On blind source separation in convolutive and nonlinear mixtures, 2002.

A. Bell and T. Sejnowski, An Information-Maximization Approach to Blind Separation and Blind Deconvolution, Neural Computation, vol.20, issue.1, p.11291159, 1995.
DOI : 10.1109/78.301850

A. Belouchrani, Séparation autodidacte de sources : Algorithmes, Performances et Applications à des signaux expérimentaux, 1995.

A. Belouchrani, K. A. Meraim, J. Cardoso, and E. Moulines, A blind source separation technique using second-order statistics, IEEE Transactions on Signal Processing, vol.45, issue.2, p.434444, 1997.
DOI : 10.1109/78.554307

A. Belouchrani and M. G. Amin, Blind source separation based on time-frequency signal representations, IEEE Transactions on Signal Processing, vol.46, issue.11, p.28882897, 1998.
DOI : 10.1109/78.726803

A. Belouchrani and M. G. Amin, On the use of spatial time frequency distributions for signal extraction. Multidimensional Systems and Signal Processing, Special issue of the journal, p.349354, 1998.

A. Belouchrani and J. Cardoso, Maximum likelihood source separation for discrete sources, Proceeding of EUSIPCO, p.768771, 1994.

A. Belouchrani and J. Cardoso, Maximum likelihood source separation for discrete sources, Proceeding of NOLTA, p.4953, 1995.

M. Bentoumi, G. Bloch, P. Aknin, and G. Millerioux, Blind source separation for detection and classication of rail surface defects, Proceeding of ENDE, 2003.

F. Berthommier and S. Choi, Evaluation of CASA and BSS models for cocktailparty speech segregation, 2001.

N. Le-bihan, J. I. Mars, and H. Pedersen, Waveeld separation on multicomponent sensors. 62 nd meeting of european association of geoscientists and engineers, 2000.

W. Bobillet, E. Grivel, R. Guidorzi, and M. Najim, Cancelling convolutive and additive coloured noises for speech enhancement, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
DOI : 10.1109/ICASSP.2004.1326373
URL : https://hal.archives-ouvertes.fr/hal-00167746

J. Bondy, Technical report on McMaster University hearing-aid research, 2003.

H. Boumaraf, Séparation aveugle de mélanges convolutifs de sources, Proceeding of MajecSTIC 2005, p.316322, 2005.

H. Boumaraf, D. Pham, and C. Servière, Blind separation of convolutive mixture of speech sources, Proceedings of 13th European Signal Processing Conference, 2005.

I. Bradaric, A. P. Petropulu, and K. I. Diamantaras, On resolving the column permutation ambiguity in the estimates of mimo system response, conference on Information Sciences and Systems, 2000.

A. Bunese-gerstner, R. Byers, and V. Mehrmann, Numerical methods for simultaneous diagonalisation, SIAM J. Matrix Anal. Appli, vol.14, p.927949, 1993.

X. Cao and R. Liu, General approach to blind source separation, IEEE Trans. on Signal Processing, vol.44, issue.3, p.562571, 1996.

V. Capdevielle, Séparation de sources large bande à l'aide des moments d'ordre supérieur, 1995.

V. Capdevielle, . Ch, J. Servière, and . Lacoume, Blind separation of wide-band sources : application to rotating machine signals, Proceeding of EUSIPCO, vol.3, pp.2085-2088, 1996.

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

J. Cardoso, Analyse en composantes indépendantes, Conférence invitée. Actes des XXXIVèmes Journées de Statistique, 2002.

J. Cardoso and S. Amari, Maximum likelihood source separation : equivariance and adaptivity, Proceeding of SYSID'97, p.10631068, 1997.

J. Cardoso and D. Pham, Optimization Issues in Noisy Gaussian ICA, Proceeding of ICA, p.4148, 2004.
DOI : 10.1007/978-3-540-30110-3_6

J. Cardoso and A. Souloumiac, Blind beamforming for non-gaussian signals, IEE Proceedings F Radar and Signal Processing, vol.140, issue.6, p.362370, 1993.
DOI : 10.1049/ip-f-2.1993.0054

J. Cardoso and A. Souloumiac, An ecient technique for blind separation of complex sources, Proceeding of IEEE SP Workshop on Higher-Order Stat, p.275279, 1993.

J. Cardoso and A. Souloumiac, Jacobi Angles for Simultaneous Diagonalization, SIAM Journal on Matrix Analysis and Applications, vol.17, issue.1
DOI : 10.1137/S0895479893259546

A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing, 2002.
DOI : 10.1002/0470845899

P. Comon, Independent component analysis, a new concept ? Signal Processing, p.287314, 1994.

P. Comon, Blind identication and source separation in 2x3 under-determined mixtures, IEEE Trans. on Signal Processing, vol.52, p.113, 2004.

J. M. Danthez and R. Aquilina, Separation of broadband sources concept of the labrador software. Mechanical systems and signal processing, p.91106, 1997.

J. Delabrouille, J. Cardoso, and G. Patanchon, Multidetector multicomponent spectral matching and applications for cmb data analysis, Monthly Notices of the Royal Astronomical Society, vol.346, issue.4, p.10891102, 2003.
URL : https://hal.archives-ouvertes.fr/in2p3-00022188

F. Dellaert, The expectation maximization algorithme College of computing, Georgia institut of technology, Feb, 2002.

A. Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of Royal Statistical Society, vol.39, issue.1, p.138, 1977.

Y. Deville, Actes de l'école de printemps : De la séparation de sources à l'analyse en composantes indépendantes. Méthodes, algorithmes et applications, Ch. Jutten, A. Guérin-Dugué, éditeurs, Villard-de-Lans (Isère), 2001.

Y. Deville, Towards industrial applications of blind source separation and independent component analysis, Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation, 1924.

Y. Deville, Panorama des applications biomédicales des méthodes de séparation aveugle de sources, Proceedings of GRETSI'2003, p.3134, 2003.

K. I. Diamantaras, Oriented PCA and blind signal separation, ICA proceedings, p.609613, 2003.

S. Ebihara, Blind separation for estimation of near-surface interface by gpr with time-frequency distribution, IEICE Trans. Commun, p.30713081, 2003.

P. Fabry, Techniques de séparation de sources appliquées à des signaux vibratoires de machines tournantes, 2001.

G. Fleury, Analyse spectrale ; Méthodes non-paramétriques et paramétriques, 2001.

C. Févotte, Approche temps-fréquence pour la séparation aveugle de sources nonstationnaires, 2003.

C. Févotte and C. Doncarli, Two Contributions to Blind Source Separation Using Time???Frequency Distributions, IEEE Signal Processing Letters, vol.11, issue.3, 2004.
DOI : 10.1109/LSP.2003.819343

P. Gao, E. Chang, and L. Wyse, Blind separation of fetal ECG from single mixture using SVD and ICA, IEEE Proceedings, p.14181422, 2003.

G. Gelle, Les statistiques d'ordre supérieur appliquées à la détection et à la séparation de sources. Utilisation en analyse vibratoire et acoustique, 1998.

G. Gelle, M. Colas, and G. Delaunay, Separation of convolutive mixtures of harmonic signals with a temporal approach. application to rotating machine monitoring, Proceedings of ICA'99, 1999.

G. Gelle, M. Colas, and C. Servière, BLIND SOURCE SEPARATION: A TOOL FOR ROTATING MACHINE MONITORING BY VIBRATIONS ANALYSIS?, Journal of Sound and Vibration, vol.248, issue.5, p.865885, 2001.
DOI : 10.1006/jsvi.2001.3819

H. H. Goldstein and P. Horwitz, A Procedure for the Diagonalization of Normal Matrices, Journal of the ACM, vol.6, issue.2, p.176195, 1959.
DOI : 10.1145/320964.320975

P. Granjon, Contribution à la compensation active des vibrations des machines électriques, 2000.

S. Harmeling, P. V. Bünau, A. Ziehe, and D. Pham, Technical report on implementation of linear methods and validation on acoustic sources, 2004.

H. Hartley, Maximum Likelihood Estimation from Incomplete Data, Biometrics, vol.14, issue.2, p.174194, 1958.
DOI : 10.2307/2527783

J. Herault, C. Jutten, and B. Ans, Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé, Colloque du GRETSI, vol.1, p.10171022, 1985.

A. Hyvarinen, J. Karhunen, E. Oja, C. Jutten, L. Nguyen-thi et al., Independent Component Analysis Blind separation of sources : an algorithm for separation of convolutive mixtures, Int. Signal Processing Workshop on Higher Order Statistics, p.273276, 1991.

M. Kawamoto and Y. Inouye, A deation algorithm for the blind source-factor separation of mimo-r channels driven by colored sources, IEEE Signal Processing Letters, vol.10, issue.11, p.343346, 2003.

W. Kellermann, H. Buchner, W. Herbordt, and R. Aichner, Multichannel acoustic signal processing for human/machine interfaces -fundamental problems and recent advances, Proceeding of Int. Conf. on Acoustics, 2004.

P. Kisilev, M. Zibulevsky, and Y. Y. Zeevi, A multiscale framework for blind source separation, Journal of Machine Learning Research, vol.4, p.13391363, 2003.

M. S. Kompella, P. Davies, R. J. Bernhard, and D. A. Uord, A technique to determine the number of incoherent sources contributing to the response of a system. Mechanical systems and signal processing, p.363380, 1994.

M. Kunt, Traitement numérique des signaux, 1981.

W. A. Kuperman and G. Turek, Matched eld acoustics. Mechanical systems and signal processing, p.141148, 1997.

J. Lacoume, P. Amblard, and P. Comon, Statistiques d'ordre supérieur pour le traitement du signal, 2002.

A. Mansour, Contribution à la séparation aveugle de sources, 1997.

A. Mansour, Blind separation for instantaneous mixture of speech signals: algorithms and performances, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119), p.2632, 2000.
DOI : 10.1109/TENCON.2000.893534
URL : https://hal.archives-ouvertes.fr/hal-00802740

A. Mansour, Blind separation of sources : Methodes, assumptions and applications, IEICE TRANS, vol.83, p.14981512, 2000.

A. Mansour, C. Jutten, and N. Ohnishi, Kurtosis : Denition and properties, International Conference on Multisource-Multisensor Information Fusion, p.4046, 1998.

A. Mansour, C. G. Puntonet, and N. Ohnishi, A new geometrical blind separation of sources algorithm, SCI'2001, p.350355, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00802758

J. , M. Mcgraw, -. , and U. , Electronics and Nucleonics Dictionary, 1966.

N. Mitianoudis and M. Davies, Audio source separation of convolutive mixtures, IEEE Transactions on Speech and Audio Processing, vol.11, issue.5
DOI : 10.1109/TSA.2003.815820

S. Ikeda and N. , Murata and A. Ziehe MATLAB code for convolutive blind source separation

R. Mukai, S. Araki, and S. Makino, Evaluation of separation and dereverberation performance in frequency domain blind source separation, Proceeding of ICA, p.230235, 2001.
DOI : 10.1250/ast.25.119

R. Mukai, S. Araki, and S. Makino, Separation and dereverberation performance of frequency domain blind source separation for speech in a reverberant environment, Proceeding of Eurospeech, p.25992603, 2001.

R. Mukai, S. Araki, H. Sawada, and S. Makino, Evaluation of separation and dereverberation performance in frequency domain blind source separation, Acoustical Science and Technology, vol.25, issue.2, p.119126, 2004.
DOI : 10.1250/ast.25.119

N. Murata and S. Ikeda, An on-line algorithm for blind source separation on speech signals, Proceeding of NOLTA, 1998.

T. Nishikawa, H. Saruwatari, K. Shikano, and S. Makino, Multistage ica for blind source separation of real acoustic convolutive mixture, Proceeding of ICA, p.523528, 2003.

D. Nuzillard and A. Bijaoui, Blind source separation and analysis of multispectral astronomical images, Astronomy and Astrophysics Supplement Series, vol.147, issue.1, pp.129-138, 2000.
DOI : 10.1051/aas:2000292

L. Parra and C. Spence, On line blind source separation of non stationary signals

L. Parra and C. Spence, Convolutive blind separation of non-stationary sources, Proceeding of IEEE Trans. on Speech and Audio Processing, p.320327, 2000.
DOI : 10.1109/89.841214

L. Parra and C. Spence, MATLAB code for convolutive blind source separation

D. D. Pham, Pham Software of Joint Approximate Diagonalization of Positive Matrices

D. Pham, Blind separation of instantaneous mixture of sources via the Gaussian mutual information criterion, Signal Processing, vol.81, issue.4, p.855870, 2001.
DOI : 10.1016/S0165-1684(00)00260-7

D. Pham, Joint approximate diagonalization of positive denite matrices, SIAM J. on Matrix Anal. and Appl, vol.22, issue.4, p.11361152, 2001.

D. Pham and J. Cardoso, Blind separation of instantaneous mixtures of non stationary sources, IEEE Trans. Signal Processing, vol.49, p.18371848, 2001.

D. Pham, P. Garrat, and C. Jutten, Separation of a mixture of independent sources through a maximum likelihood approach, Proceeding of EUSIPCO, p.771774, 1992.
URL : https://hal.archives-ouvertes.fr/hal-01485511

D. Pham, C. Servière, and H. Boumaraf, Blind separation of convolutive audio mixtures using nonstationarity Blind separation of speech mixtures based on nonstationarity, Proceeding of ICA'03 Proceeding of ISSPA, p.981986, 2003.

L. R. Rabiner and R. W. Schafer, Digital processing of speech signals, 1978.

C. Simon, C. Vignat, . Ph, C. Loubaton, and G. Jutten, On the convolutive mixture source separation by the decorrelation approach, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), p.21092112, 1998.
DOI : 10.1109/ICASSP.1998.681561
URL : https://hal.archives-ouvertes.fr/hal-00621857

P. Smaragdis, Blind source separation of convolved mixtures in the frequency domain, International Workshop on Independence & Articial Neural Networks, 1998.

P. Smith, D. Fotheringham, Z. Anderson, and . Popvic, Smart antennas with optical processing for broadband blind source separation, Proceedings of the 16th International Symposium on Power Semiconductor Devices & IC's, 2003.
DOI : 10.1109/WCT.2003.1321581

S. W. Smith, The scientist and engineer's guide to Digital Signal Processing, 1999.

T. Takatani, T. Nishikawa, H. Saruwatari, and K. Shikano, High-delity blind separation for convolutive mixture of acoustic signals using SIMO model based independent component analysis, Proceeding of ISSPA, 2003.

H. Thi and C. Jutten, Blind source separation for convolutive mixtures, Signal Processing, vol.45, issue.2, pp.45-47, 1995.
DOI : 10.1016/0165-1684(95)00052-F

L. Tong, R. W. Liu, V. C. Soon, and Y. F. Huang, Indeterminacy and identiability of blind identication, IEEE Trans. on Circuit and Systems, vol.38, p.499509, 1991.

L. Tong, V. Soon, Y. F. Huang, and R. Liu, AMUSE: a new blind identification algorithm, IEEE International Symposium on Circuits and Systems, p.17841787, 1990.
DOI : 10.1109/ISCAS.1990.111981

L. Trainor, R. Sonnadara, K. Wiklund, J. Bondy, S. Gupta et al., Development of a exible, realistic hearing in noise test environment (R-HINT-E), Signal Processing, vol.84, p.299309, 2004.

W. Wang, J. A. Chambers, and S. Sanei, A joint diagonalization method for convolutive blind separation of nonstationary sources in the frequency domain, Proceeding of ICA'03, p.939944, 2003.

E. Weinstein, M. Feder, and A. V. Oppenheim, Multi-channel signal separation by decorrelation, IEEE Transactions on Speech and Audio Processing, vol.1, issue.4, p.405413, 1993.
DOI : 10.1109/89.242486

A. Westner and J. Bove, Blind separation of real world audio signals using overdetermined mixtures, Proceeding of ICA and BSS, 1999.

A. Westner and V. M. Bove, Applying blind source separation and deconvolution to real-world acoustic environments, 1999.

A. G. Westner, Object-Based Audio Capture : Separating Acoustically-Mixed Sounds, 1999.

H. Wu and J. C. Principe, Simultaneous diagonalization in the frequency domain (SDIF) for source separation, Proceeding of ICA, p.245250, 1999.

J. M. Xavier, V. A. Barroso, and J. M. Moura, Closed-form blind channel identication and source separation in SDMA systems through correlative coding

A. Yeredor, TV-SOBI : an expansion of sobi for linearly time-varying mixtures, ICA'03 Proceedings, p.903908, 2003.

A. Ypma, Learning methods for machine vibration analysis and health monitoring, Pattern Recognition Group, Dept. of Applied Physics, 2001.

A. Ypma, A. Leshem, and R. P. Duin, Blind separation of rotating machine sources: bilinear forms and convolutive mixtures, Neurocomputing, vol.49, issue.1-4, p.349368, 2002.
DOI : 10.1016/S0925-2312(02)00524-6

A. Ypma and P. Pajunen, Second-order ICA in machine vibration analysis, Lab. of Computer and Information Science, 1998.

A. Ypma and P. Pajunen, Rotating machine vibration analysis with second-order independent component analysis, Proceeding of ICA'99, p.3742, 1999.

A. Ziehe and K. Müller, TDSEP -an ecient algorithm for blind separation using time structure, Proceeding of ICANN'98, p.675680, 1998.