A new method for source separation

Author

Lambert, Russell H.

Author_Institution

Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA., USA

Volume

3

fYear

1995

Firstpage

2116

Abstract

A new adaptive filtering approach to multichannel source separation is presented. The method is based on an extension of traditional single channel blind equalization. This multichannel extension is presented theoretically and the results are demonstrated by simulation using both communications data and speech. The new source separation algorithm is compared to existing adaptive separation algorithms which handle multipath: the Herault-Jutten (see Signal Processing, vol.24, p.1-10, 1991) source separation algorithm, and the time-recursive Weinstein et. al. (see IEEE Trans. Speech and Audio Processing, vol.1, no.4, p.405-413, 1993) algorithms. The new method offers dramatic performance improvement over existing methods and the ability to handle different source data types in an optimal fashion

Keywords

adaptive filters; adaptive signal processing; equalisers; filtering theory; multipath channels; recursive estimation; speech processing; adaptive filtering; adaptive separation algorithms; communications data; multichannel equalisation; multichannel source separation; multipath; performance improvement; simulation; single channel blind equalization; source data; source separation algorithm; speech; time-recursive algorithms; Adaptive equalizers; Adaptive filters; Blind equalizers; Cost function; Filtering algorithms; Least squares approximation; Multipath channels; Signal restoration; Source separation; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.478493

Filename

478493