ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 158

A flexible component model for precision ICA

Author(s): Jean-Francois Cardoso, Maude Martin


We describe an ICA method based on second order statistics which was originally developed for the separation of components in astrophysical images but is appropriate in contexts where accuracy and versatility are of primary importance. It combines several basic ideas of ICA in a new flexible framework designed to deal with situations such as noisy data, correlated components, non stationary contexts, availability of prior information, varying resolution. This paper describes our approach and discusses its implementation in terms of a library of components.

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