Independent component analysis P12

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Independent component analysis P12

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ICA by Nonlinear Decorrelation and Nonlinear PCA This chapter starts by reviewing some of the early research efforts in independent component analysis (ICA), especially the technique based on nonlinear decorrelation, that was successfully used by Jutten, H´ rault, and Ans to solve the first ICA problems. e Today, this work is mainly of historical interest, because there exist several more efficient algorithms for ICA. Nonlinear decorrelation can be seen as an extension of second-order methods such as whitening and principal component analysis (PCA). These methods give components that are uncorrelated linear combinations of input variables, as explained in Chapter 6. We...

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