Handbook of Blind Source Separation

Editing by the experts, this book will provide you with a broad list of experts, this book will provide you with a wide range of references. applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning, numerical analysis, and includes topics, 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. Learn about the principles of methods, methods, algorithms, and applications of Blind Source Separation.

• Covers the principles 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. 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 in the field of telecommunications, biomedical engineering, speech, acoustic, audio and music processing.

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