B-spline mutual information independent component analysis

Walters-Williams, Janett and Li, Yan (2010) B-spline mutual information independent component analysis. International Journal of Computer Science and Network Security, 10 (7). pp. 129-141. ISSN 1738-7906

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Abstract

Mutual Information is one of the most natural criteria
when developing independent component analysis (ICA).
Although utilized to some level it has always been
difficult to calculate. We present a new algorithm which
utilizes a contrast function related to Mutual
Information based on B-Spline functions. We compared
this algorithm with benchmarked ICA algorithms such
as FastICA, Infomax and JADE and found it to be very
favourable with them in performance.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Publisher: International Journal of Computer Science and Network Security
Item Status: Live Archive
Additional Information (displayed to public): ©IJCSNS. Deposited with blanket permission of Editor.
Depositing User: Dr Yan Li
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 08 Mar 2011 11:24
Last Modified: 10 Oct 2014 05:27
Uncontrolled Keywords: b-spline, mutual information, independent component analysis, electroencephalogram
Fields of Research (FoR): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
Socio-Economic Objective (SEO): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/18481

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