Handbook of Blind Source Separation: Independent Component Analysis and ApplicationsPierre Comon, Christian Jutten Academic Press, 17.02.2010 - 856 Seiten Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation.
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Inhalt
1 | |
23 | |
65 | |
Chapter 4 Likelihood | 107 |
Chapter 5 Algebraic methods after prewhitening | 155 |
Chapter 6 Iterative algorithms | 179 |
Chapter 7 Secondorder methods based on color | 227 |
Chapter 8 Convolutive mixtures | 281 |
Chapter 12 Bayesian approaches | 467 |
Chapter 13 Nonnegative mixtures | 515 |
Chapter 14 Nonlinear mixtures | 549 |
Chapter 15 Semiblind methods for communications | 593 |
Chapter 16 Overview of source separation applications | 639 |
Chapter 17 Application to telecommunications | 683 |
Chapter 18 Biomedical applications | 737 |
Chapter 19 Audio applications | 779 |
Chapter 9 Algebraic identification of underdetermined mixtures | 325 |
Chapter 10 Sparse component analysis | 367 |
Chapter 11 Quadratic timefrequency domain methods | 421 |
Glossary | 821 |
823 | |
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