PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Contrasts, Independent Component Analysis, and Blind Deconvolution
Pierre Comon
International Journal of Adaptive Control and Signal Processing Volume 18, Number 3, pp. 225-243, 2004.

Abstract

A general definition of contrast criteria is proposed, which induces the concept of trivial filters. These optimization criteria enjoy identifiability properties, and aim at delivering outputs satisfying specific properties, such as statistical independence or a discrete character. Several ways of building new contrast criteria are described. It is then briefly elaborated on practical numerical algorithms.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:135
Deposited By:Pierre Comon
Deposited On:31 May 2004