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Measures of nongaussianity

To use nongaussianity in ICA estimation, we must have a quantitative measure of nongaussianity of a random variable, say y. To simplify things, let us assume that y is centered (zero-mean) and has variance equal to one. Actually, one of the functions of preprocessing in ICA algorithms, to be covered in Section 5, is to make this simplification possible.



 

Aapo Hyvarinen
2000-04-19