An Introduction to Independent Component Analysis and Blind Source Separation

نویسنده

  • Lucas C. Parra
چکیده

1 ICA 2 1.1 Examples of linear mixtures of independent components . . . . . 2 1.2 Basic assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 ICA from Maximum Likelihood . . . . . . . . . . . . . . . . . . . 4 1.4 PCA and ICA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Minimal Mutual Information . . . . . . . . . . . . . . . . . . . . 6 1.6 Maximum Transmitted Information . . . . . . . . . . . . . . . . . 8

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تاریخ انتشار 2001