Description |
xxxi, 554 pages : illustrations ; 25 cm + 1 CD-ROM (4 3/4 in.) |
Contents |
1. Introduction to Blind Signal Processing: Problems and Applications -- 2. Solving a System of Algebraic Equations and Related Problems -- 3. Principal/Minor Component Analysis and Related Problems -- 4. Blind Decorrelation and SOS for Robust Blind Identification -- 5. Sequential Blind Signal Extraction -- 6. Natural Gradient Approach to Independent Component Analysis -- 7. Locally Adaptive Algorithms for ICA and their implementations -- 8. Robust Techniques for BSS and ICA with Noisy Data -- 9. Multichannel Blind Deconvolution: Natural Gradient Approach -- 10. Estimating Functions and Superefficiency for ICA and Deconvolution -- 11. Blind Filtering and Separation Using a State-Space Approach -- 12. Nonlinear State Space Models - Semi-Blind Signal Processing -- App. A. Mathematical Preliminaries |
Notes |
One CD-ROM in pocket attached to inside back cover |
Bibliography |
Includes bibliographical references (pages 453-534) and index |
Subject |
Adaptive signal processing.
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Machine learning.
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Algorithms.
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Author |
Amari, Shun'ichi.
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ISBN |
0471607916 alkaline paper |
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9780471607915 alkaline paper |
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