Adaptive step size techniques for decorrelation and blind source separation

Author

Douglas, S.C. ; Cichocki, A.

Author_Institution

Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA

Volume

2

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

1191

Abstract

Careful selection of step size parameters is often necessary to obtain good performance from gradient-based adaptive algorithms for decorrelation and source separation tasks. In this paper, we provide an overview of methods for the on-line calculation of step size parameters for these systems. A particular emphasis is placed on gradient adaptive step sizes for a class of natural gradient algorithms for decorrelation and blind source separation. Simulations verifying their useful behaviors are provided.

Keywords

adaptive signal processing; decorrelation; gradient methods; adaptive step size techniques; blind source separation; decorrelation; gradient adaptive step sizes; gradient-based adaptive algorithms; natural gradient algorithms; on-line calculation; step size parameters; Adaptive algorithm; Adaptive signal processing; Adaptive systems; Blind source separation; Decorrelation; Information systems; Iterative algorithms; Signal processing algorithms; Source separation; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.751515

Filename

751515