Handbook of Blind Source Separation

Independent Component Analysis and Applications

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Last edited by MARC Bot
June 30, 2019 | History

Handbook of Blind Source Separation

Independent Component Analysis and Applications

The definitive reference on blind source sampling edited by the pioneers in the field, with contributions from 34 worldwide experts, containing all the methods, techniques, algorithms and applications that an engineer and scientist needs to know.

Publish Date
Publisher
Elsevier
Language
English

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Previews available in: English

Book Details


Table of Contents

Front cover; Half page; Title page; Copyright page; Contents; About the editors; Preface; Contributors; Chapter 1. Introduction; Chapter 2. Information; Chapter 3. Contrasts; Chapter 4. Likelihood; Chapter 5. Algebraic methods after prewhitening; Chapter 6. Iterative algorithms; Chapter 7. Second-order methods based on color; Chapter 8. Convolutive mixtures; Chapter 9. Algebraic identification of under-determined mixtures; Chapter 10. Sparse component analysis; Chapter 11. Quadratic time-frequency domain methods; Chapter 12. Bayesian approaches; Chapter 13. Non-negative mixtures
Chapter 14. Nonlinear mixturesChapter 15. Semi-blind methods for communications; Chapter 16. Overview of source separation applications; Chapter 17. Application to telecommunications; Chapter 18. Biomedical applications; Chapter 19. Audio applications; Glossary; Index;

Edition Notes

Electronic reproduction. Available via World Wide Web.

Mode of access: World Wide Web.

Published in
Burlington

Classifications

Dewey Decimal Class
621.38223
Library of Congress
TK5102.9.H36 2010

The Physical Object

Format
[electronic resource] :

Edition Identifiers

Open Library
OL27042572M
Internet Archive
handbookblindsou00como
ISBN 10
0080884946
ISBN 13
9780080884943
OCLC/WorldCat
635293065

Work Identifiers

Work ID
OL19854281W

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June 30, 2019 Created by MARC Bot import new book