Handbook of Blind Source Separation: Independent Component Analysis and Applications

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.




Readership
Signal, acoustic, audio, speech, image processing university (applied) researchers, R&D engineers; Communications engineering researchers and R&D engineers; Biomedical engineering researchers; Chemists carrying out data analysis.

Table of Contents
1. Introduction, by P. Comon and C. Jutten
2. Information, by D.T. Pham
3. Contrast functions, by E. Moreau and P. Comon
4. Likelihood, by J.-F. Cardoso
5. Algebraic methods after prewhitening, by L. De Lathauwer
6. Iterative algorithms, by V. Zarzoso and A. Hyvarinen
7. Second order methods based on color, by S. Degerine and A. Yeredor
8. Convolutive mixtures, by M. Castella, A. Chevreuil, and J.-C. Pesquet
9. Second order methods based on subspace or linear prediction, by K. Abed Meraim, D-Z Feng, and W.X. Zheng
10. Algebraic identification of under-determined mixtures, by P. Comon and L. De Lathauwer
11. Sparse Component Analysis (SCA), by R. Gribonval and M. Zibulesvki
12. Time-frequency domain methods, by N. Thirion-Moreau and M. Amin
13. Bayesian approaches, by A. Mohammad-Djafari and K. Knuth
14. Blind identification under non negativity constraints, by M. Plumbey and R. Bro
15. Nonlinear mixtures, by C. Jutten, M. Babaie-Zadeh and J. Karhunen
16. Semi-blind methods for communications, by V. Zarzoso, P. Comon and D. Slock
17. Application of ICA and related methods to actual problems, by Y. Deville and C. Jutten
18. Application in telecommunications, by P. Chevalier and A. Chevreuil
19. Biomedical applications, by L. Albera, P.Comon, and L. Parra
20. Applications in acoustic, audio and music, by E.Vincent and Y. Deville



Author Information
By Pierre Comon and Christian Jutten