Research Catalog

Independent component analysis

Title
Independent component analysis / Aapo Hyvärinen, Juha Karhunen, Erkki Oja.
Author
Hyvärinen, Aapo.
Publication
New York : J. Wiley, [2001], ©2001.

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Details

Additional Authors
  • Karhunen, Juha.
  • Oja, Erkki.
Description
xxi, 481 pages : illustrations; 25 cm
Summary
  • "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. 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."--BOOK JACKET.
Subject
  • Multivariate analysis
  • Principal components analysis
Bibliography (note)
  • Includes bibliographical references (p. 449-475) and index.
Contents
1. Introduction -- 2. Random Vectors and Independence -- 3. Gradients and Optimization Methods -- 4. Estimation Theory -- 5. Information Theory -- 6. Principal Component Analysis and Whitening -- 7. What is Independent Component Analysis? -- 8. ICA by Maximization of Nongaussianity -- 9. ICA by Maximum Likelihood Estimation -- 10. ICA by Minimization of Mutual Information -- 11. ICA by Tensorial Methods -- 12. ICA by Nonlinear Decorrelation and Nonlinear PCA -- 13. Practical Considerations -- 14. Overview and Comparison of Basic ICA Methods -- 15. Noisy ICA -- 16. ICA with Overcomplete Bases -- 17. Nonlinear ICA -- 18. Methods using Time Structure -- 19. Convolutive Mixtures and Blind Deconvolution -- 20. Other Extensions -- 21. Feature Extraction by ICA -- 22. Brain Imaging Applications -- 23. Telecommunications -- 24. Other Applications.
ISBN
047140540X (cloth : alk. paper)
LCCN
2001024709
OCLC
  • ocm46791031
  • SCSB-4147622
Owning Institutions
Columbia University Libraries