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Independent Component Analysis Based on Information Bottleneck

Author

Listed:
  • Qiao Ke
  • Jiangshe Zhang
  • H. M. Srivastava
  • Wei Wei
  • Guang-Sheng Chen

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.

Suggested Citation

  • Qiao Ke & Jiangshe Zhang & H. M. Srivastava & Wei Wei & Guang-Sheng Chen, 2015. "Independent Component Analysis Based on Information Bottleneck," Abstract and Applied Analysis, Hindawi, vol. 2015, pages 1-8, June.
    • Handle: RePEc:hin:jnlaaa:386201
    DOI: 10.1155/2015/386201
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