Independent component analysis

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Independent component analysis / Aapo Hyvärinen, Juha Karhunen, Erkki Oja

資料種別:

図書

出版情報:

New York : Wiley, c2001

形態:

xxi, 481 p. ; 25 cm

シリーズ名:

A Wiley-Interscience publication <BA00493885>
Adaptive and learning systems for signal processing, communications, and control <BA22396962>

著者名:

ISBN:

9780471405405 [047140540X]

書誌ID:

BA53363866

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

Includes bibliographical references (p. 449-475) and index

主題:

Multivariate analysis; Principal components analysis

言語:

英語

目次情報:

Preface

Introduction / 1：

Mathematical Preliminaries / Part I：

Random Vectors and Independence / 2：

Gradients and Optimization Methods / 3：

Estimation Theory / 4：

Information Theory / 5：

Principal Component Analysis and Whitening / 6：

Basic Independent Component Analysis / Part II：

What is Independent Component Analysis? / 7：

ICA by Maximization of Nongaussianity / 8：

ICA by Maximum Likelihood Estimation / 9：

ICA by Minimization of Mutual Information / 10：

ICA by Tensorial Methods / 11：

ICA by Nonlinear Decorrelation and Nonlinear PCA / 12：

Practical Considerations / 13：

Overview and Comparison of Basic ICA Methods / 14：

Extensions and Related Methods / Part III：

Noisy ICA / 15：

ICA with Overcomplete Bases / 16：

Nonlinear ICA / 17：

Methods using Time Structure / 18：

Convolutive Mixtures and Blind Deconvolution / 19：

Other Extensions / 20：

Applications of ICA / Part IV：

Feature Extraction by ICA / 21：

Brain Imaging Applications / 22：

Telecommunications / 23：

Other Applications / 24：

References

Index

Preface

Introduction / 1：

Mathematical Preliminaries / Part I：

Random Vectors and Independence / 2：

Gradients and Optimization Methods / 3：

Estimation Theory / 4：

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