- Hardcover: 504 pages
- Publisher: Wiley-Blackwell (29 Jun 2001)
- Language English
- ISBN-10: 047140540X
- ISBN-13: 978-0471405405
- Product Dimensions: 16.9 x 2.8 x 23.5 cm
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 916,499 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Review
"...researchers...introduce independent component analysis as a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals." (SciTech Book News, Vol. 25, No. 4, December 2001)
Product Description
A comprehensive introduction to ICA for students and practitioners
Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in–depth coverage of new applications in image processing, telecommunications, audio signal processing, and more.
Independent Component Analysis is divided into four sections that cover:
∗ General mathematical concepts utilized in the book
∗ The basic ICA model and its solution
∗ Various extensions of the basic ICA model
∗ Real–world applications for ICA models
Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in–depth coverage of new applications in image processing, telecommunications, audio signal processing, and more.
Independent Component Analysis is divided into four sections that cover:
∗ General mathematical concepts utilized in the book
∗ The basic ICA model and its solution
∗ Various extensions of the basic ICA model
∗ Real–world applications for ICA models
Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
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"In this chapter, we review central concepts of probability theory, statistics, and random processes." Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
"In this chapter, we review central concepts of probability theory, statistics, and random processes." Read the first page
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Customer Reviews
Most Helpful Customer Reviews
3 of 7 people found the following review helpful
Format:Hardcover
Independent Component Analysis (ICA) is one of the most exciting topics in the fields of neural computation, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in vision research, brain imaging, telecommunications, and more.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
2 reviews
23 of 26 people found the following review helpful
Comprehensive Book
29 Oct 2001
Format:Hardcover
Independent Component Analysis is a young and interesting topic that gained attention and still receiving more of it.
Until now this is the best introduction that has been written.
It is comprehensive, clear and unbiased.
I think that 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.
What worths mentioning is that the authors are very envolved in the development of the theory of ICA ,other books are good but are deviated by their author's own approachs and this is normal but unhealthy for a first book on any field.
What constitutes a great help for understanding ICA are the relatively easy concepts if one just intend to pick an algorithm(ex:FastICA), but this is not the case regarding its theory.
One colleague once argued that ICA should have emerged long before the begining of the 90's, claiming that Gaussian forms
(Central Limit-Theorem) killed the idea of dealing with other kinds of distributions and therefore the signal processing community went assuming every thing was gaussian (noise was gaussian,signals are gaussian),but the emerge of HOS relaxed the gaussian restriction and ICA became possible and no longer 'blind' .
I think this should prepare researchers to deal with coming challengs more intelligently and efficiently .That is why I recommend this book since it tries to give a broad view to the subject .
9 of 12 people found the following review helpful
Nice and detailed description of ICA
26 Oct 2001
Format:Hardcover
This is a nice and self-contained book on the subject of independent component analysis (ICA). The authors start with relevant mathematical and statistical background (in Part I) to prepare readers for the derivations of ICA (though seasoned researchers may want to skip the first part of this book). The authors discuss the motivation behind ICA and present several ways to derive ICA (since this subject has been approached by several communities). The authors also compare and discuss the pros and cons of these approaches. The authors discuss several applications using ICA in Part III.
Compared with other ICA books, this manuscript has much depth and completeness. I highly recommend this book to any reader interested in this topic.
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