Variable step-size EASI algorithm for sequential blind source separation

被引：31

作者：

Chambers, JA

Jafari, MG

McLaughlin, S

机构：

[1] Univ Edinburgh, Inst Digital Commun, Edinburgh EH8 9YL, Midlothian, Scotland

[2] Kings Coll London, Ctr Digital Signal Proc Res, London WC2R 2LS, England

来源：

ELECTRONICS LETTERS | 2004年 / 40卷 / 06期

关键词：

Adaptive algorithms - Adaptive filtering - Computational complexity - Computer simulation - Function evaluation - Identification (control systems) - Iterative methods - Mathematical models - Matrix algebra - Monte Carlo methods - Vectors - White noise;

D O I：

10.1049/el:20040216

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new variable step-size equivariant adaptive source separation via independence (VS-EASI) algorithm for on-line blind separation of independent sources is proposed. The algorithm utilises a variable step-size and thereby matches its performance to the dynamics of the input signals together with changes in the underlying mixing matrix. The algorithm is therefore particularly well suited to blind source separation in a non-stationary environment. Monte Carlo simulation studies support the expected improvement in convergence speed of the approach.

引用

页码：393 / 394

页数：2

共 5 条

[1]

[Anonymous], 2002, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

[2] Equivariant adaptive source separation [J].