Independent component analysis P13

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Independent component analysis P13

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Practical Considerations In the preceding chapters, we presented several approaches for the estimation of the independent component analysis (ICA) model. In particular, several algorithms were proposed for the estimation of the basic version of the model, which has a square mixing matrix and no noise. Now we are, in principle, ready to apply those algorithms on real data sets. Many such applications will be discussed in Part IV. However, when applying the ICA algorithms to real data, some practical considerations arise and need to be taken into account. In this chapter, we discuss different problems that may arise, in particular, overlearning...

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