Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications / Edition 1

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Overview

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. * Offers a broad coverage of blind signal processing techniques and algorithms both from a theoretical and practical point of view * Presents more than 50 simple algorithms that can be easily modified to suit the reader's specific real world problems * Provides a guide to fundamental mathematics of multi-input, multi-output and multi-sensory systems * Includes illustrative worked examples, computer simulations, tables, detailed graphs and conceptual models within self contained chapters to assist self study * Accompanying CD-ROM features an electronic, interactive version of the book with fully coloured figures and text. C and MATLABĀ® user-friendly software packages are also provided MATLABĀ® is a registered trademark of The MathWorks, Inc.

By providing a detailed introduction to BSP, as well as presenting new results and recent developments, this informative and inspiring work will appeal to researchers, postgraduate students, engineers and scientists working inbiomedical engineering,
communications, electronics, computer science, optimisations, finance, geophysics and neural networks.

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Editorial Reviews

From The Critics
As a hot R&D topic in fields ranging from biomedical engineering to computer science and remote sensing, blind signal processing (BSP) includes the major areas of blind signal separation and extraction, independent signal analysis, and blind multichannel deconvolution and equalization. Cichocki (Riken Brain Science Institute, Japan; Warsaw U. of Technology, Poland) and Amari (with the former) provide selective coverage of the theory and practice devoted to these areas from work over the past decade. In self-contained chapters, they present an overview of problem formulations, and robust extensions of adaptive algorithms and models for interpreting digital images. The book includes 1,392 references, a mathematical appendix, and a glossary of symbols and abbreviations. The CD-ROM is an electronic version of the text with hyperlinks. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471607915
  • Publisher: Wiley
  • Publication date: 6/28/2002
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 586
  • Product dimensions: 6.89 (w) x 9.72 (h) x 1.56 (d)

Table of Contents

Preface
1 Introduction to Blind Signal Processing: Problems and Applications 1
2 Solving a System of Algebraic Equations and Related Problems 43
3 Principal/Minor Component Analysis and Related Problems 87
4 Blind Decorrelation and SOS for Robust Blind Identification 129
5 Sequential Blind Signal Extraction 177
6 Natural Gradient Approach to Independent Component Analysis 231
7 Locally Adaptive Algorithms for ICA and their implementations 273
8 Robust Techniques for BSS and ICA with Noisy Data 305
9 Multichannel Blind Deconvolution: Natural Gradient Approach 335
10 Estimating Functions and Superefficiency for ICA and Deconvolution 383
11 Blind Filtering and Separation Using a State-Space Approach 423
12 Nonlinear State Space Models - Semi-Blind Signal Processing 443
References 453
App. A Mathematical Preliminaries 536
App. B: Glossary of Symbols and Abbreviations 548
Index 553
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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted August 25, 2003

    Useful book

    Never before has such a large array of methods and algorithms for blind source separation and independent component analysis (ICA) been put together with such a coherent analysis. The attached CD-ROM contains of MATLAB software and beautiful interactive version of electronic book in pdf format with illustrative fully colored figures and graphs. This book is practical and reference guide to wide spectrum of blind signal processing problems including Independent Component Analysis (ICA), blind source separation (BSS), blind recovery, blind signal extraction (BSE) and multi-channel blind deconvolution with channel blind equalization (MBD/E). The new corrected and fully revised edition (June 2003) consists of several revised features and developments. In my opinion, the most important features of the book include: * Independent component analysis using various criteria, models and higher order statistics techniques * Multistage robust blind separation of colored sources using second order statistics * Robust blind decorrelation, whitening and orthogonalization * Adaptive and information theoretic approaches to multi-channel blind deconvolution with channel blind equalization * Natural gradient, Stiefel manifolds and Lie group approaches * Extended total and data least squares problems (ETLS/DLS) * Sparse representation of signals, constrained matrix factorization and minimum p-norm problems * MATLAB packages illustrating performance of a large number of ICA/BSS algorithms both for signals and colored images.

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  • Anonymous

    Posted August 4, 2002

    Some basic features of the book

    Blind Signal and Image Processing (BSIP) is an exciting and emerging research topic in fields such biomedical signal/image processing, advanced statistics, unsupervised adaptive filtering and neural networks with solid theoretical foundations and many real world applications. This book is a practical and reference guide to wide spectrum of blind signal processing problems including Independent Component Analysis (ICA), blind source separation (BSS), blind recovery, blind signal extraction (BSE) and multi-channel blind deconvolution with channel blind equalization (MBD/E). Topics include: * Independent component analysis using various criteria, models and higher order statistics techniques, * Multistage robust blind separation of colored sources using second order statistics, * Robust blind decorrelation, whitening and orthogonalization, * Adaptive and information theoretic approaches to multi-channel blind deconvolution with channel blind equalization, * Natural gradient, Stiefel manifolds and Lie group information theoretic approaches * Generalized total and data least squares problems (TLS/DLS), * Sparse representation of signals, constrained matrix factorization and minimum p-norm problems, * MATLAB package illustrating performance of some selected ICA/BSS algorithms, * Color electronic interactive version of the book on CD-ROM in pdf format. By providing a detailed introduction to BSP, as well as presenting new results and recent developments, this monograph will appeal to students, researchers, engineers and scientists working in biomedical engineering, communications, electronics, computer science, optimisations, finance, geophysics and neural networks. The book is a step toward making the subject not only a common field of research but also a reference for those looking for new challenging topics.

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