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Independent Component Analysis: Principles and Practice
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by
Stephen Roberts (Editor), Richard Everson (Editor)
Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models. ICA provides a better decomposition than other well-known models such as principal component ...
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