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Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-10047140540X

ISBN-139780471405405

eBay Product ID (ePID)10038306492

Product Key Features

Number of Pages504 Pages

Publication NameIndependent Component Analysis

LanguageEnglish

Publication Year2001

SubjectWaves & Wave Mechanics, Probability & Statistics / Multivariate Analysis

TypeTextbook

AuthorJuha Karhunen, Erkki Oja, Aapo Hyvärinen

Subject AreaMathematics, Science

SeriesAdaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser.

FormatHardcover

Dimensions

Item Height1.1 in

Item Weight28.6 Oz

Item Length9.5 in

Item Width6.4 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2001-024709

Dewey Edition21

Reviews"...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)

Series Volume Number26

IllustratedYes

Dewey Decimal519.5/35

Table Of ContentPreface. Introduction. MATHEMATICAL PRELIMINARIES. Random Vectors and Independence. Gradients and Optimization Methods. Estimation Theory. Information Theory. Principal Component Analysis and Whitening. BASIC INDEPENDENT COMPONENT ANALYSIS. What is Independent Component Analysis? ICA by Maximization of Nongaussianity. ICA by Maximum Likelihood Estimation. ICA by Minimization of Mutual Information. ICA by Tensorial Methods. ICA by Nonlinear Decorrelation and Nonlinear PCA. Practical Considerations. Overview and Comparison of Basic ICA Methods. EXTENSIONS AND RELATED METHODS. Noisy ICA. ICA with Overcomplete Bases. Nonlinear ICA. Methods using Time Structure. Convolutive Mixtures and Blind Deconvolution. Other Extensions. APPLICATIONS OF ICA. Feature Extraction by ICA. Brain Imaging Applications. Telecommunications. Other Applications. References. Index.

SynopsisA 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., ICA ist ein statistisches Verfahren, um versteckte Faktoren aus einer gro en Anzahl von Messergebnissen herauszufiltern. Wichtige potentielle Anwendungen dieses Verfahrens sind Bildverarbeitung, Data Mining und Signaltrennung. Die Autoren sind Mitglieder einer Forschungsgruppe, die für innovative Ideen auf diesem Gebiet bekannt ist. Bereits heute bietet jede Konferenz über neuronale Netze oder Signalverarbeitung Veröffentlichungen zum Thema ICA; man erwartet, dass sich dieses Gebiet schnell etabliert und in die Studienpläne aufgenommen wird., 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 Hyvrinen, 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., 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.

LC Classification NumberQA278.H98 2001