An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms
This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence. Foundations and basic knowledge necessary to understand...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2010-03-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | http://www.tqmp.org/Content/vol06-1/p031/p031.pdf |