Abstract and Applied Analysis

Independent Component Analysis Based on Information Bottleneck

Qiao Ke, Jiangshe Zhang, H. M. Srivastava, Wei Wei, and Guang-Sheng Chen

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Abstract

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.

Article information

Source
Abstr. Appl. Anal., Volume 2015 (2015), Article ID 386201, 8 pages.

Dates
First available in Project Euclid: 17 August 2015

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1439816222

Digital Object Identifier
doi:10.1155/2015/386201

Mathematical Reviews number (MathSciNet)
MR3358328

Zentralblatt MATH identifier
06929052

Citation

Ke, Qiao; Zhang, Jiangshe; Srivastava, H. M.; Wei, Wei; Chen, Guang-Sheng. Independent Component Analysis Based on Information Bottleneck. Abstr. Appl. Anal. 2015 (2015), Article ID 386201, 8 pages. doi:10.1155/2015/386201. https://projecteuclid.org/euclid.aaa/1439816222


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