Blind separation of convolved sources based on information maximization

Blind separation of independent sources from their convolutive mixtures is a problem in many real world multi-sensor applications. In this paper we present a solution to this problem based on the information maximization principle, which was proposed by Bell and Sejnowski (1995) for the case of blind separation of instantaneous mixtures. We present a feedback network architecture capable of coping with convolutive mixtures, and we derive the adaptation equations for the adaptive filters in the network by maximizing the information transferred through the network. Examples using speech signals are presented to illustrate the algorithm.

[1]  Christian Jutten,et al.  Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..

[2]  John C. Platt,et al.  Networks for the Separation of Sources that Are Superimposed and Delayed , 1991, NIPS.

[3]  Pierre Comon,et al.  Blind separation of sources, part II: Problems statement , 1991, Signal Process..

[4]  Gilles Burel,et al.  Blind separation of sources: A nonlinear neural algorithm , 1992, Neural Networks.

[5]  Yeheskel Bar-Ness,et al.  A forward/backward bootstrapped structure for blind separation of signals in a multi-channel dispersive environment , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Meir Feder,et al.  Multi-channel signal separation by decorrelation , 1993, IEEE Trans. Speech Audio Process..

[7]  A. Maynard Engebretson,et al.  Acoustic signal separation of statistically independent sources using multiple microphones , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  Miguel Angel Lagunas,et al.  Blind wideband source separation , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

[10]  Nathalie Delfosse,et al.  Adaptive separation of independent sources: a deflation approach , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[11]  Ehud Weinstein,et al.  Criteria for multichannel signal separation , 1994, IEEE Trans. Signal Process..

[12]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[13]  Terrence J. Sejnowski,et al.  Adaptive separation of mixed broadband sound sources with delays by a beamforming Herault-Jutten network , 1995 .

[14]  Christian Jutten,et al.  Blind source separation for convolutive mixtures , 1995, Signal Process..

[15]  Nathalie Delfosse,et al.  Adaptive blind separation of convolutive mixtures , 1996, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[16]  Jean-Louis Lacoume,et al.  Blind separation of wide-band sources in the frequency domain , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[17]  P. Loubaton,et al.  Adaptive blind separation of convolutive mixtures , 1995 .

[18]  Juha Karhunen,et al.  Nonlinear PCA type approaches for source separation and independent component analysis , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[19]  J. Cardoso.  The Invariant Approach to Source Separation I Introduction: Source Separation , 1995 .

[20]  Russell H. Lambert,et al.  A new method for source separation , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[21]  Andrzej Cichocki,et al.  A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.

[22]  Roland Gautier,et al.  Blind separation of convolutive mixtures using second and fourth order moments , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[23]  Barak A. Pearlmutter,et al.  A Context-Sensitive Generalization of ICA , 1996 .

[24]  Juha Karhunen,et al.  Neural approaches to independent component analysis and source separation , 1996, ESANN.

[25]  Simon J. Godsill,et al.  Multi-channel signal separation , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[26]  Kari Torkkola,et al.  Blind separation of delayed sources based on information maximization , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[27]  Ehud Weinstein,et al.  Multichannel signal separation: methods and analysis , 1996, IEEE Trans. Signal Process..