Edited By
Pierre Comon
Christian Jutten
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.
Audience:
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.