Open Access
2015 Independent Component Analysis Based on Information Bottleneck
Qiao Ke, Jiangshe Zhang, H. M. Srivastava, Wei Wei, Guang-Sheng Chen
Abstr. Appl. Anal. 2015: 1-8 (2015). DOI: 10.1155/2015/386201


The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by information bottleneck. Furthermore, via the numerical experiments with the synthetic data, sonic data, and image, ICA is proved to be an edificatory way to solve BSS successfully relying on the information theory. Finally, two realistic numerical experiments are conducted via FastICA in order to illustrate the efficiency and practicality of the algorithm as well as the drawbacks in the process of the recovery images the mixing images.


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Qiao Ke. Jiangshe Zhang. H. M. Srivastava. Wei Wei. Guang-Sheng Chen. "Independent Component Analysis Based on Information Bottleneck." Abstr. Appl. Anal. 2015 1 - 8, 2015.


Published: 2015
First available in Project Euclid: 17 August 2015

zbMATH: 06929052
MathSciNet: MR3358328
Digital Object Identifier: 10.1155/2015/386201

Rights: Copyright © 2015 Hindawi

Vol.2015 • 2015
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