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Title: Comparison of principal component analysis and indepedent component analysis for blind source separation
Authors: Mutihac, R. ×
Van Hulle, Marc #
Issue Date: 2004
Publisher: Editura Academiei Romane
Series Title: Romanian Reports in Physics vol:56 issue:1 pages:20-32
Abstract: Our contribution briefly outlines the basics of the well-established
technique in data mining, namely the principal component analysis (PCA), and a rapidly
emerging novel method, that is, the independent component analysis (ICA). The
performance of PCA singular value decomposition-based and stationary linear ICA in blind
separation of artificially generated data out of linear mixtures was critically evaluated and
compared. All our results outlined the superiority of ICA relative to PCA in faithfully
retrieval of the original independent source components.
ISSN: 1221-1451
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

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