De-cumulant based approaches for convolutive blind source separation

T. Mei, University of Wollongong
J. Xi, University of Wollongong
J. F. Chicharo, University of Wollongong
F. Yin, Dalian University of Technology, China

Article comments

This paper originally appeared as: Mei, T, Xi, J, Chicharo, JF and Yin, F, De-cumulant based approaches for convolutive blind source separation, Proceedings of 2004 International Intelligent Multimedia, Video and Speech Processing, 20-22 October 2004, 471-474. Copyright IEEE 2004.

Abstract

This paper studies the blind separation of signal sources (BSS) based on the approach of de-cumulant. It considers the cases where independent signal sources are mixed through convolutive mixing system with unity autochannel frequency responses and causal cross-channel FIR filters. Firstly, it tries to show that the de-cumulant is sufficient for separation. Secondly, novel algorithms are developed based on zero-forcing of cross-cumulant pairs. These algorithms are developed in the time-domain and so there is not the frequency permutation ambiguity problem usually suffered by most of the frequency-domain algorithms. Simulation results are presented to support the validity of the proposed algorithms.