Blind Signal Processing: Theory and Practice

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Springer Science & Business Media, Dec 28, 2011 - Technology & Engineering - 368 pages
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"Blind Signal Processing: Theory and Practice" not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, results from a study conducted at Shanghai Jiao Tong University in the areas of speech signal processing, underwater signals, image feature extraction, data compression, and the like are discussed.

This book will be of particular interest to advanced undergraduate students, graduate students, university instructors and research scientists in related disciplines. Xizhi Shi is a Professor at Shanghai Jiao Tong University.

 

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Contents

Chapter 1 Introduction
1
Chapter 2 Mathematical Description of Blind Signal Processing
27
Chapter 3 Independent Component Analysis
60
Chapter 4 Nonlinear PCA Feature Extraction
84
Chapter 5 Nonlinear ICA
97
Chapter 6 Convolutive Mixtures and Blind Deconvolution
113
Chapter 7 Blind Processing Algorithm Based on Probability Density Estimation
132
Chapter 8 Joint Approximate Diagonalization Method
175
Chapter 9 Extension of Blind Signal Processing
205
Chapter 10 Data Analysis and Application Study
301
Index
367
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