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Title of Paper:A Novel ICA algorithm based on parameterized model
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Date of Publication:2012-01-01
Journal:ICIC Express Letters
Included Journals:EI、Scopus
Volume:6
Issue:9
Page Number:2357-2362
ISSN No.:1881803X
Abstract:A novel Independent Component Analysis algorithm based on parameterized model (PMICA) is proposed which can separate the mixture of super- and sub-Gaussian sources. Two approximate probability density function models are proposed respectively. In the framework of natural gradient, the parameters of two models are adaptively manipulated by online kurtosis learning. Stability analysis is discussed which provides the ranges of models parameters. Experiments show that the proposed PMICA algorithm has better performance than some other algorithms. ? 2012 ICIC International.
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