Adaptive Blind Signal and Image Processing

Rating:
Summary: Great book
Review: 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.

Rating:
Summary: Useful Book
Review: 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.