Handbook of Blind Source Separation: Independent Component Analysis and Applications (Google eBook)

Frontcover
Pierre Comon, Christian Jutten
Academic Press, 17.02.2010 - 856 Seiten
1 Rezension

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.



  • Covers the principles and major techniques and methods in one book
  • Edited by the pioneers in the field with contributions from 34 of the world’s experts
  • Describes the main existing numerical algorithms and gives practical advice on their design
  • Covers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communications
  • Shows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications
  

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Inhalt

Chapter 1 Introduction
1
Chapter 2 Information
23
Chapter 3 Contrasts
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
Index
823
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