Handbook of Blind Source Separation

Independent Component Analysis and Applications

Pierre Comon, Christian Jutten

• Publisher: Academic Press
• Year: 2010
• Print ISBN:
  9780123747266
• eBook ISBN:
  9780080884943
• Topic: Technology & Engineering
• Subtopic: Computer Science General
• Index: Technology & Engineering

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

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• 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 mixtures
• Chapter 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
• Subject Index