Ahmad, Tahir and Ghanbari, Mahdi (2011) A review of independent component analysis (ICA) based on Kurtosis Contrast Function. Australian Journal of Basic and Applied Sciences, 5 (9). pp. 1747-1755. ISSN 1991-8178
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Abstract
Independent component analysis (ICA) is a computational mehtod to solve blind source separation (BSS) problem. Different kinds of classic measure can be used for the estimation of nonGaussian sources by ICA. In this paper we review independent componenet analysis (ICA) technique based on Kurtosis contrast function. We briefly present the common independent component analysis algorithms that use Kurtosis as a criterion for non-Gaussian. Basid on the literatures, we compare these algrithms in terms of performance and advantaves.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | independent component analysis |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 44703 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 21 Apr 2015 03:31 |
| Last Modified: | 30 Aug 2017 03:06 |
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