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. In other words, each componentof the representation is a linear combination of the original variables.
Feature extraction by ICA will be explained in more detail later on. All of the applications described above can actually be formulated in a unified mathematical framework, that of ICA. This is a very general-purpose method of signal processing and data analysis.
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