Independent Component Analysis - Chapter 17: Nonlinear ICA

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Independent Component Analysis - Chapter 17: Nonlinear ICA

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This chapter deals with independent component analysis (ICA) for nonlinear mixing models. A fundamental difficulty in the nonlinear ICA problem is that it is highly nonunique without some extra constraints, which are often realized by using a suitable regularization. We also address the nonlinear blind source separation (BSS) problem. Contrary to the linear case, we consider it different from the respective nonlinear ICA problem.

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