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Independent Component Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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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.
Product Details
- Amazon Sales Rank: #208817 in Books
- Published on: 2001-06-29
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 504 pages
Editorial Reviews
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)
From the Back Cover
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 Hyvärinen, 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.
About the Author
AAPO HYVARINEN, PhD, is Senior Fellow of the Academy of Finland and works at the Neural Networks Research Center of Helsinki University of Technology in Finland. JUHA KARHUNEN and ERKKI OJA are professors at the Neural Networks Research Center of Helsinki University of Technology in Finland.
Customer Reviews
It is a comprehensive presentation of ICA
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.
