Adaptive blind separation of convolutive mixtures

Author

Delfosse, Nathalie ; Loubaton, Philippe

Author_Institution

Dept. Signal, Telecom Paris, France

Volume

5

fYear

1996

fDate

7-10 May 1996

Firstpage

2940

Abstract

In this paper, the blind separation of convolutive mixtures is addressed. Provided that there are more sensors than sources, it can be solved using almost only the second order statistics of the observed signal, through a three-step method (analysis, instantaneous separation and synthesis). A decomposed and normalized lattice synthesis filter is introduced. It solves the problem of singularity, and it is stable for any choice of its parameters. It can be adaptively computed via a least squares lattice (LSL) algorithm, as shown by the simulation results

Keywords

adaptive filters; array signal processing; digital filters; lattice filters; least squares approximations; signal synthesis; LSL algorithm; adaptive blind separation; analysis; convolutive mixtures; instantaneous separation; lattice synthesis filter; least squares lattice algorithm; second order statistics; singularity; synthesis; three-step method; Finite impulse response filter; Lattices; Prediction algorithms; Sensor arrays; Signal analysis; Signal processing; Signal synthesis; Statistical analysis; Technological innovation; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.550170

Filename

550170