5 - Analyse en composantes indépendantes et identification aveugle
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Independent Component Analysis (ICA) consists of searching a linear
transformation that provides us with an exhaustive (or compressed)
summary of the data in the form of statistically independent components .
This concept may be seen as an extension of Principal Component
Analysis, which only imposes independence up to the second order . ICA is
first defined, and then algorithms for its calculation are proposed . It is shown how this new tool can be used in various applications, such as
separation of signais, Bayesian detection, or blind deconvolution .