Convolutive blind source separation by fourth-order statistics

Authors:
Fuxiang Wang;Jun Zhang
Affiliations:
School of Electronics and Information Engineering, Beihang University, Beijing, China;School of Electronics and Information Engineering, Beihang University, Beijing, China
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

In this paper, we present a new method using fourthorder statistics for convolutive blind source separation. After a whitening process of the observed data, the separation of convolutive mixtures are transformed to find a semi-unitary demixing matrix. Then the semi-unitary demixing matrix is determined by joint diagonalization for a set of fourth-order joint cumulant matrices. Simulation results of speech separation demonstrate the effectiveness of the new approach.