Independent component analysis P14

Chia sẻ: Khinh Kha Kha | Ngày: | Loại File: PDF | Số trang:17

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Independent component analysis P14

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Overview and Comparison of Basic ICA Methods In the preceding chapters, we introduced several different estimation principles and algorithms for independent component analysis (ICA). In this chapter, we provide an overview of these methods. First, we show that all these estimation principles are intimately connected, and the main choices are between cumulant-based vs. negentropy/likelihood-based estimation methods, and between one-unit vs. multiunit methods. In other words, one must choose the nonlinearity and the decorrelation method. We discuss the choice of the nonlinearity from the viewpoint of statistical theory. In practice, one must also choose the optimization method. We compare the algorithms experimentally,...

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