Independent Component Analysis: A Tutorial Introduction (Bradford Books) | 
 enlarge | Author: James V. Stone
Publisher: The MIT Press
Category: Book
List Price: $38.00
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Rating:  6 reviews
Sales Rank: 415744
Media: Paperback
Pages: 211
Number Of Items: 1
Shipping Weight (lbs): 1
Dimensions (in): 8.8 x 7 x 0.5
ISBN: 0262693151
Dewey Decimal Number: 006.32
EAN: 9780262693158
Publication Date: September 1, 2004
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Product Description
Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions.
In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method.
An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA.
Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.
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| Customer Reviews: Read 1 more reviews...
James Stone's monograph: 'Independent Component Analysis' January 10, 2006
Dr Tony Fisher (Liverpool, United Kingdom)
8 out of 8 found this review helpful
James Stone's monograph is a refreshing new book amongst the many other `new books' on Independent Component Analysis (ICA). The author brings his teaching experience to present the theory and practice of ICA in a highly accessible form using a duplication of words and straight-forward mathematics.
Particular attention is given in the earlier chapters to the description of the linear signal mixing process giving the Reader a good basis for understanding the fundamental assumptions upon which ICA and its application to Blind Source Separation are based.
The book is aimed at the Reader with a technical but not necessarily formal mathematics background. Illustrative examples and functional algorithms in MatLab are frequent and references are made to the author's available electronic resources. As such it is suitable to both the newcomer to ICA, and to the more expert engineer or scientist.
This Reviewer rates this book very highly.
The best introduction on the subject May 5, 2006
K. B. (NY)
7 out of 7 found this review helpful
I can't stress how reader friendly this book is. It is by far the best introduction on component analysis. It is written in such a way that those with a weaker math background can understand it while those with years of experience will not be bored, at certain times it even reads like a story.
It addition to being readable the book contains an impressive amount of content for its size. This content is presented in an organized manner, and in such a way that the user can immediately apply the techniques to their own problems.
If you are interested in independent component analysis or one of its relatives I highly recommend this valuable, reasonably price book.
An Excellent Introduction January 29, 2005
John Matlock (Winnemucca, NV)
6 out of 8 found this review helpful
Independent Component Analysis (ICA) is one of the emerging technologies that ever more powerful computers are becoming more available. Basically it is a set of mathematical techniques that are used to pull a little bit of information out of a large mass of data.
Much of ICA's applicability has to do with signal processing. The amount of data that a radar antenna receives, for instance, is huge with respect to the amount of data that actually reflects back from the target.
Similar problems occur in many types of signal processing, i.e. brain imaging, speech processing, telecommunications and other signals. Other types of large data volume, small signal interest occurs in stock market analysis, weather prediction, various biomedical applications, etc.
This overview first establishes the strategy implicit in ICA and then goes on to give the mathematical procedures and processes that are involved along with some computer programs that implement the mathematics. This is an excellent introduction to the concepts.
Outstanding November 26, 2006
Georges Otte (Belgium)
Without this book I would never have understood the basics and finesses of ICA. Even if readers ar highly skilled in math reading this book will set out mile'stones' that will enhance the understanding of the ICA- problem, -tools and -possibilities.
Dr. G. Otte
Stimulating introduction and review of ICA July 2, 2007
Agustin Lobo Aleu
This excellent book introduces the reader in the field of Independent Component Analysis providing the necessary fundamentals to understand and apply the different methods. The book also makes interesting links to other techniques. The author has succeeded at writing a very didactic text, not an easy task given the complexity of the matter, and at transmitting his enthusiasm to the reader.
I've enjoyed this book, which has been not only an introduction to ICA but which has brought me into ICA, stimulating my own experimentation with the technique.
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