Adaptive independent component analysis by modified Kernel density estimation

Authors:
Yunfeng Xue;Yujia Wang;Yujie Han
Affiliations:
School of Electronic and Electrical Engineering, Shanghai Second Polytechnic University, Shanghai, P.R. China;Department of Automation, Shanghai University of Engineering Science, Shanghai, P.R. China;Collage of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, P.R. China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

In this paper, an adaptive algorithm for linear instantaneous independent component analysis is proposed, which is is based on minimizing the mutual information contrast function. Adaptive density estimation by modified kernel density estimation is applied to estimate the unknown probability density functions as well as their first and second derivatives. Empirical comparisons with several popular algorithms confirm the efficiency of the proposed algorithm.