Independent Component Analysis Based on Information Bottleneck
Date
2015
Authors
Ke, Qiao
Zhang, Jiangshe
Srivastava, Hari M.
Wei, Wei
Chen, Guang-Sheng
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract and Applied Analysis
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.
Description
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Citation
Ke, Q., Zhang, J., Srivastava, H.M., Wei, W., & Chen, G. (2015). Independent component analysis based on information bottleneck. Abstract and Applied Analysis, Vol. 2015, 8 pages. Article ID 386201.