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Independent Component Analysis

by Juha Karhunen, Aapo Hyvärinen, Erkki Oja
Compare to estimated retail price: RM880.00 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

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Independent Component Analysis - Thryft
Independent Component Analysis - Thryft

Uncovering hidden signals in data.

This book is ideal for students and practitioners who want to learn about Independent Component Analysis (ICA), a technique used to separate a multivariate signal into individual, non-Gaussian signals. The authors are experts in the field and cover the mathematical background, ICA model and its solutions, extensions of the basic ICA model, as well as real-world applications. The book is highly informative and accessible to a variety of readers from different fields.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Independent Component Analysis

by Juha Karhunen, Aapo Hyvärinen, Erkki Oja
Compare to estimated retail price: RM880.00 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

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This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

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*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9780471405405
Authors: Juha Karhunen, Aapo Hyvärinen, Erkki Oja
Publisher: Wiley-Interscience
Date of Publication: 2001-05-18
Format: Hardcover
Related Collections: Science, Mathematics, Technology
Related Topics: Computers, Mathematics, Physics
Goodreads rating: 4.5
(rated by 14 readers)

Description

A comprehensive introduction to ICA for students and practitionersIndependent 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 * 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 modelsAuthors 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.
 

Uncovering hidden signals in data.

This book is ideal for students and practitioners who want to learn about Independent Component Analysis (ICA), a technique used to separate a multivariate signal into individual, non-Gaussian signals. The authors are experts in the field and cover the mathematical background, ICA model and its solutions, extensions of the basic ICA model, as well as real-world applications. The book is highly informative and accessible to a variety of readers from different fields.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.