Adaptive Blind Signal and Image Processing by Andrzej Cichocki - 0471607916 - Compare Discount Book Prices & Save up to 90%

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		Adaptive Blind Signal and Image Processing by Andrzej Cichocki, Shun-ichi Amari ISBN-10: 0471607916 ISBN-10: 0-471-60791-6 ISBN-13: 9780471607915 ISBN-13: 978-0-471-60791-5 Hardcover 2002-06-15 Wiley Find Lowest Price
Editorials

Product Description 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 MATLAB(r) user-friendly software packages are also provided MATLAB(r) 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 in biomedical engineering, communications, electronics, computer science, optimisations, finance, geophysics and neural networks.
Reviews

English, first language, it is not The previous reviewer is correct in that this is a huge tomb. However, since my purpose is to learn Blind Signal Decomposition, I will try to read another book first. I want to know one method before learning all possible methods. Be warned -- there are many run-on sentences in this book. The authors like parenthetical expressions, as do I, but I'm not writing a book. I find it difficult to read, because I have to keep trying to figure out what the author meants to say, instead of what they wrote. It might just be me, but when I read about "dynamicAL systems" (as in Romeo and Juliet is Romantical), it breaks my concentration. Another problem I find is, "This is equal WITH that." Oddly, the version I am reading states was "reprinted with corrections on April 2003, and Oct 2005". Yet is still has enough grammatical mistakes and very long sentences, to make reading difficult for me. I am glad I don't have the first printing.
Great 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 : MATLAB software and beautiful interactive version of electronic book in pdf format with precise illustrative fully colored figures and graphs. Blind Signal and Image Processing 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 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.
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 : MATLAB software and beautiful interactive version of electronic book in pdf format with with very illustrative fully colored figures and graphs. Blind Signal and Image Processing 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 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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