Transcription of Independent Component Analysis: Algorithms and Applications
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Independent Component Analysis: Algorithms and Applications
Independent Component Analysis: Algorithms and ApplicationsAapo Hyv rinen and Erkki OjaNeural Networks Research CentreHelsinki University of Box 5400, FIN-02015 HUT, FinlandNeural Networks, 13(4-5):411-430, 2000 AbstractA fundamental problem in neural network research, as well asin many other disciplines, is finding a suitablerepresentation of multivariate data, random reasons of computational and conceptual simplicity,the representation is often sought as a linear transformation of the original data.
and it need not be exactly true in practice. The recently developed technique of Independent Component Analysis, or ICA, can be used to estimate the aij based on the informationof their independence, which allows us to separate the two original source signals s1(t) and s2(t) from their mixtures x1(t) and x2(t).Fig. 3 gives the two signals
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