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Independent Component Analysis: Independence (probability theory), Blind signal separation, Source separation, Principal component analysis, Singular value decomposition - Brossura

 
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non-Gaussian source signals. It is a special case of blind source separation.

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