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.
Read more about Independent Component Analysis: Introduction, Defining Component Independence, Mathematical Definitions, Binary Independent Component Analysis
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