High-Order Contrasts for Independent Component Analysis

19991,216 citationsJournal Article

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Abstract

This article considers high-order measures of independence for the independent component analysis problem and discusses the class of Jacobi algorithms for their optimization. Several implementations are discussed. We compare the proposed approaches with gradient-based techniques from the algorithmic point of view and also on a set of biomedical data.

Topics & Keywords

Blind Source Separation Techniques Spectroscopy and Chemometric Analyses EEG and Brain-Computer Interfaces

Publication Details

Published in: Neural Computation

Volume 11, Issue 1, pp. 157-192

DOI: 10.1162/089976699300016863

Field-Weighted Citation Impact: 27.88

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High-Order Contrasts for Independent Component Analysis

Authors

Abstract

Topics & Keywords

Publication Details