Adaptive step size techniques for decorrelation and blind source separation

S. C. Douglas, A. Cichocki

Research output: Contribution to journalConference articlepeer-review

48 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1191-1195
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: 1 Nov 19984 Nov 1998

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