An offline independent component analysis algorithm for colored sources

Authors:
Ying Cai;Gang Wang
Affiliations:
Sichuan TOP Vocational Institute of Information Technology, Chengdu;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 9
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Abstract

Based on information theoretic approach and projection pursuit approach, Hyvärinen and Oja have introduced a family of novel contrast functions for independent component analysis (ICA) and proposed a Fast-ICA [1,2] algorithm. Fast-ICA algorithm converges fast but it is not robust for colored sources such as biomedical signals. By optimizing Fast-ICA's contrast function, and applying natural Riemannian gradient in Stiefel manifold, we present in this paper a modified algorithm which can deal with colored signals successfully. Further computer simulation results and comparisons demonstrate the effectiveness and validity of our algorithm.