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https://doi.org/10.1007/116793...
Part of book or chapter of book . 2006 . Peer-reviewed
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Conference object . 2025
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Local Convergence Analysis of FastICA

Authors: Hao Shen 0002; Knut Hüper;

Local Convergence Analysis of FastICA

Abstract

The FastICA algorithm can be considered as a selfmap on a manifold. It turns out that FastICA is a scalar shifted version of an algorithm recently proposed. We put these algorithms into a dynamical system framework. The local convergence properties are investigated subject to an ideal ICA model. The analysis is very similar to the wellknown case in numerical linear algebra when studying power iterations versus Rayleigh quotient iteration.

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Australia
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Keywords

Keywords: Algorithms, Iterative methods, Numerical linear algebra, Blind source separation, Power iterations, Independent component analysis, Linear algebra, Scalar shifted version

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
Green