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Independent Component Analysis

Juha Karhunen, Aapo Hyvärinen, Erkki Oja

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Independent Component Analysis

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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

Regular price
Unit price
per
Compare to estimated retail price: S$272.90  
Condition guide
ISBN: 9780471405405
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.

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