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Independent Component Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) (Hardcover)

by Erkki Oja (Author), Aapo Hyvarinen (Author), Juha Karhunen (Author) "In this chapter, we review central concepts of probability theory, statistics, and random processes ..." (more)

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This item: Independent Component Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) by Erkki Oja
In stock.
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This item Delivered FREE in the UK with Super Saver Delivery. See details and conditions
Independent Component Analysis: A Tutorial Introduction (Bradford Books) by JV Stone
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Product details

Hardcover: 504 pages
Publisher: John Wiley & Sons Inc (29 Jun 2001)
Language English
ISBN-10: 047140540X
ISBN-13: 978-0471405405
Product Dimensions: 23.6 x 15.6 x 3 cm

Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)

Amazon.co.uk Sales Rank: 473,941 in Books (See Bestsellers in Books)
Popular in these categories:
#12 in Books > Computing & Internet > Computer Science > Information Systems > Control Systems
#65 in Books > Computing & Internet > Computer Science > Artificial Intelligence > Neural Networks

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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.

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"In this chapter, we review central concepts of probability theory, statistics, and random processes." Read the first page

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	65% buy the item featured on this page: Independent Component Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) 5.0 out of 5 stars (1) �82.03
	35% buy Independent Component Analysis: A Tutorial Introduction (Bradford Books) �27.50

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3 of 5 people found the following review helpful:

5.0 out of 5 stars It is a comprehensive presentation of ICA, 5 Sep 2001

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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.

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