Sharma, Alokanand and Paliwal, K.K. (2006) Subspace independent component analysis using vector kurtosis. Pattern Recognition, 39 . pp. 2227-2232. ISSN 0031-3203
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Official URL: http://www.sciencedirect.com/science/article/pii/S...
Abstract
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. This vector kurtosis is utilized in the subspace ICA algorithm to estimate subspace independent components. One of the main advantages of the presented approach is its computational simplicity. The experiments have shown promising results in estimating subspace independent components.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Alokanand Sharma |
| Date Deposited: | 09 Aug 2006 23:43 |
| Last Modified: | 07 Oct 2013 04:05 |
| URI: | https://repository.usp.ac.fj/id/eprint/5028 |
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