Publication: The convergence analysis of the complex ica algorithms using symmetric orthogonalization
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Journal Title
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Alternative Title
Simetrik dikgenleştirme kullanan karmaşik ICA algoritmalarının yakınsama analizi
Abstract
The contrast function optimization based independent component analysis is one of the most widespread methods in separating independent sources from their linear mixtures. The convergence analysis of such algorithms, which has both theoretical and practical value, is a current research focus. In this article, we present a convergence analysis for the separation of complex sources via use of these algorithms. Based on this analysis, we provide the characterization of the stationary points of the algorithms using symmetric orthogonalization. ©2008 IEEE.
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Publisher
IEEE
Subject
Engineering, Electrical electronics engineering
Citation
Has Part
Source
2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Book Series Title
Edition
DOI
10.1109/SIU.2008.4632563