Title :
A new method for source separation
Author :
Lambert, Russell H.
Author_Institution :
Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA., USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.478493
