Advanced Matrix Computations
Independent Component Analysis (ICA) is a computational technique used to separate a multivariate signal into additive, independent components. It is widely applied in various fields, such as signal processing and data analysis, to identify underlying factors or sources from observed data, making it particularly useful in contexts where signals may be mixed or corrupted.
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