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Multi-channel blind signal separation by decorrelation

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3 Author(s)
Chan, D.C.B. ; Dept. of Eng., Cambridge Univ., UK ; Rayner, P.J.W. ; Godsill, S.J.

The separation of independent sources from mixed observed data is a fundamental and challenging problem. In many practical situations, observations may be modelled as linear mixtures of a number of source signals, i.e. a linear multi-input multi-output system. A typical example is speech recordings made in an acoustic environment in the presence of background noise and/or competing speakers. Other examples include EEG signals, passive sonar applications and crosstalk in data communications. We propose iterative algorithms to solve the n×n linear time invariant system under two different constraints. Some existing solutions for 2×2 systems are reviewed and compared

Published in:

Applications of Signal Processing to Audio and Acoustics, 1995., IEEE ASSP Workshop on

Date of Conference:

15-18 Oct 1995