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.
| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Additional Information: | ©IJCSNS. Deposited with blanket permission of Editor. |
| Uncontrolled Keywords: | b-spline, mutual information, independent component analysis, electroencephalogram |
| Fields of Research (FOR2008): | 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 |
| Subjects: | UNSPECIFIED |
| Socio-Economic Objective (SEO2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| ID Code: | 18481 |
| Deposited By: | |
| Deposited On: | 08 Mar 2011 21:24 |
| Last Modified: | 20 Sep 2011 11:23 |
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