Blind wideband source separation

Authors:
M. Najar;M. A. Lagunas;I. Bonet
Affiliations:
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain;Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain;Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Venue:
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
Year:
1994

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Abstract

This paper deals with the general problem of separating two independent wideband sources when they are mixed by unknown filters. In order to solve this problem, a backward framework is proposed which is composed of two different stages. The first one consists of two linear predictors devoted to improve the source separation, whitening the input signals. Their coefficients are calculated applying the LMS algorithm, minimizing the mean squared errors between the predicted signals and the output of the separation network. The second stage is formed by decoupling filters that have to be blindly estimated imposing an independence criterion to the outputs.