Estimating equations for source separation

Author

Cardoso, Jean-Francois

Author_Institution

Dept. Signal, Ecole Nat. Superieure des Telecommun., Paris, France

Volume

5

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3449

Abstract

This paper proposes a unifying view of source separation via the concepts of `estimating function´ and `estimating equation´. We exhibit the estimating functions corresponding to various known techniques like ICA, JADE, infomax, maximum likelihood, cumulant matching, etc... We also show how equivariant batch and adaptive algorithms stem from each particular estimating function and discuss their stability and asymptotic performance

Keywords

adaptive estimation; adaptive signal processing; array signal processing; asymptotic stability; higher order statistics; maximum likelihood estimation; ICA; JADE; adaptive algorithms; asymptotic performance; cumulant matching; equivariant batch algorithms; estimating equations; estimating functions; independent component analysis; infomax; maximum likelihood estimation; source separation; stability; Adaptive algorithm; Asymptotic stability; Density measurement; Equations; Independent component analysis; Maximum likelihood estimation; Probability density function; Source separation; World Wide Web; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604606

Filename

604606