Hybrid ICA of Fixed-Point Algorithm and Robust Algorithm Using Adaptive Adaptation of Temporal Correlation


The KIPS Transactions:PartB , Vol. 11, No. 2, pp. 199-206, Apr. 2004
10.3745/KIPSTB.2004.11.2.199,   PDF Download:

Abstract

This paper proposes a hybrid independent component analysis(ICA) of fixed-point(FP) algorithm and robust algorithm. The FP algorithm is applied for improving the analysis speed and performance, and the robust algorithm is applied for preventing performance degradations by means of very small kurtosis and temporal correlations between components. And the adaptive adaptation of temporal correlations has been proposed for solving limits of the conventional robust algorithm dependent on the maximum time delay. The proposed ICA has been applied to the problems for separating the 4-mixed signals of 500 samples and 10-mixed images of 512X512 pixels, respectively. The experimental results show that the proposed ICA has a characteristics of adaptively adapting the maximum time delay, and has a superior separation performances(speed, rate) to conventional FP-ICA and hybrid ICA of heuristic correlation. Especially, the proposed ICA gives the larger degree of improvement as the problem size increases.


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Cite this article
[IEEE Style]
J. Y. Hyeon and O. J. Eun, "Hybrid ICA of Fixed-Point Algorithm and Robust Algorithm Using Adaptive Adaptation of Temporal Correlation," The KIPS Transactions:PartB , vol. 11, no. 2, pp. 199-206, 2004. DOI: 10.3745/KIPSTB.2004.11.2.199.

[ACM Style]
Jo Yong Hyeon and O Jeong Eun. 2004. Hybrid ICA of Fixed-Point Algorithm and Robust Algorithm Using Adaptive Adaptation of Temporal Correlation. The KIPS Transactions:PartB , 11, 2, (2004), 199-206. DOI: 10.3745/KIPSTB.2004.11.2.199.