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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.
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Previews available in: English
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Handbook of Blind Source Separation: Independent Component Analysis and Applications
2010, Elsevier
electronic resource :
in English
0080884946 9780080884943
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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.
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| June 30, 2019 | Created by MARC Bot | import new book |

