Independent Component Analysis Based on Information Bottleneck
Joint Authors
Chen, Guang-Sheng
Ke, Qiao
Zhang, Jiang-She
Srivástava, Hari Mohan
Wei, Wei
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ke, Qiao& Zhang, Jiang-She& Srivástava, Hari Mohan& Wei, Wei& Chen, Guang-Sheng. 2015. Independent Component Analysis Based on Information Bottleneck. Abstract and Applied Analysis،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052032
Modern Language Association (MLA)
Ke, Qiao…[et al.]. Independent Component Analysis Based on Information Bottleneck. Abstract and Applied Analysis No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1052032
American Medical Association (AMA)
Ke, Qiao& Zhang, Jiang-She& Srivástava, Hari Mohan& Wei, Wei& Chen, Guang-Sheng. Independent Component Analysis Based on Information Bottleneck. Abstract and Applied Analysis. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052032
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052032