Handbook of Blind Source Separation
Independent Component Analysis and Applications
Published on 6. April 2010
Book
Hardback
856 pages
978-0-12-374726-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
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.
Product notice
sewn/stitched
Paper over boards
Dimensions
Height: 256 mm
Width: 197 mm
Thickness: 52 mm
Weight
1997 gr
ISBN-13
978-0-12-374726-6 (9780123747266)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Pierre Comon | Christian Jutten
Handbook of Blind Source Separation
Independent Component Analysis and Applications
E-Book
02/2010
Academic Press
€124.00
Available for download
Persons
Christian Jutten received a PhD degree in 1981 and the Docteur es Sciences degree in 1987 from the Institut National Polytechnique of Grenoble (France). He is currently deputy director of Institute for Information Sciences and Technologies of CNRS. He has been deputy director of the Grenoble images, speech, signal and control laboratory (GIPSA) and director of the Department Images-Signal (DIS from 2007 to 2010. For 30 years, his research interests have been blind source separation, independent component analysis and learning in neural networks, including theoretical aspects (separability, source separation in nonlinear mixtures, sparsity) and applications in signal processing (biomedical, seismic, hyperspectral imaging, speech). He is author or co-author of more than 75 papers in international journals, four books, 25 invited plenary talks and 170 communications in international conferences. He received the Medal Blondel in 1997 from SEE (French Electrical Engineering society) for his contributions in source separation and independent component analysis, and has been elevated as a Fellow IEEE and a senior Member of Institut Universitaire de France in 2008. In 2012, he was awarded by an ERC Advanced Grant CHESS. In 2013, he has been elevated as EURASIP Fellow and reconducted for five years as a senior member of Institut Universitaire de France.
Content
Introduction; Information; Contrast functions; Likelihood; Algebraic methods after prewhitening; Iterative algorithms; Second order methods based on color; Convolutive mixtures; Algebraic identification of under-determined mixtures; Sparse component analysis; Quadratic time-frequency domain methods; Bayesian approaches; Non-negative mixtures; Nonlinear mixtures; Semi-blind methods for communications; Overview of source separation applications; Application to telecommunications; Biomedical applications; Audio applications