Handbook of Blind Source Separation

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

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.

1. Introduction -- P. Comon and C. Jutten
2. Information -- D.T. Pham
3. Contrast functions -- E. Moreau and P. Comon
4. Likelihood -- J.-F. Cardoso
5. Algebraic methods after prewhitening -- L. De Lathauwer
6. Iterative algorithms -- V. Zarzoso and A. Hyvarinen
7. Second order methods based on color -- A. Yeredor
8. Convolutive mixtures -- M. Castella, A. Chevreuil, and J.-C. Pesquet
9. Algebraic identification of under-determined mixtures -- P. Comon and L. De Lathauwer
10. Sparse component analysis -- R. Gribonval and M. Zibulesvki
11. Quadratic time-frequency domain methods -- N. Thirion-Moreau and M. Amin
12. Bayesian approaches -- A. Mohammad-Djafari and K.H. Knuth
13. Non-negative mixtures -- M.D. Plumbley, A. Cichocki, and R. Bro
14. Nonlinear mixtures -- C. Jutten, M. Babaie-Zadeh, and J. Karhunen
15. Semi-blind methods for communications -- V. Zarzoso, P. Comon, and D. Slock
16. Overview of source separation applications -- Y. Deville, C. Jutten, and R. Vigario
17. Application to telecommunications -- P. Chevalier and A. Chevreuil
18. Biomedical applications -- L. Albera, P.Comon, L.C. Parra, A. Karfoul, A. Kachenoura, and L. Senhadji
19. Audio applications --  E.Vincent and Y. Deville