Name
Abstract | ||
|---|---|---|
Hyävrinen and Oja have proposed an offline Fast-ICA algorithm. But it converge slowly in online form. By using the online whitening algorithm, and applying nature Riemannian gradient in Stiefel manifold, we present in this paper an extended online Fast-ICA algorithm, which can perform online blind source separation (BSS) directly using unwhitened observations. Computer simulation resluts are given to demonstrate the effectiveness and validity of our algorithm. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11759966_163 | ISNN (1) |
Keywords | Field | DocType |
offline fast-ica algorithm,extended online fast-ica algorithm,online whitening algorithm,stiefel manifold,online blind source separation,online form,computer simulation resluts,unwhitened observation,nature riemannian gradient,blind source separation,computer simulation | Approximation algorithm,Online algorithm,Pattern recognition,Computer science,Algorithm,Stiefel manifold,Artificial intelligence,Independent component analysis,Artificial neural network,Blind signal separation,Source separation,Competitive analysis | Conference |
Volume | ISSN | ISBN |
3971 | 0302-9743 | 3-540-34439-X |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
5 | ||