Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization. Containing over 1400 references and mathematical expressions Adaptive Blind Signal and Image Processing delivers an unprecedented collection of useful techniques for adaptive blind signal/image separation, extraction, decomposition and filtering of multi-variable signals and data. Contents......Page 5 List of Figures......Page 17 List of Tables......Page 27 Preface......Page 29 1. Introduction......Page 33 2. Algebraic Equations Hs=x......Page 75 3. PCA/MCA......Page 119 4. Blind Decorrelation, SOS BSS......Page 161 5. Blind Source Extraction......Page 209 6. Natural Gradient Approach to ICA......Page 263 7. Locally Adaptive Algorithms for ICA/BSS......Page 305 8. ICA for Noisy Data......Page 337 9. Multichannel Blind Deconvolutio, Equalization and Separation......Page 367 10. Superefficiency, Estimating Functions......Page 415 11. State Space Models for Blind Filtering......Page 455 12. Nonlinear State Space Models: Semi-Blind SP......Page 475 Appendix:Matrix Differential Calculus......Page 485 REFERENCES......Page 497 Symbols......Page 579 Index......Page 584