Handbook of Blind Source Separation

Handbook of Blind Source Separation

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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, RaD 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 worlda€™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 applicationsIf the sources admit a probability density function (pdf), this assumption means that the joint pdf can be factorized as the product of the marginal pdfa#39;s: ps(s1 , s2 , . .., s n)=p1(s1)p2(s2)... pn(sn) (1.5) Basically, for linear instantaneous mixtures, ICA methods aim at estimating a ... the sources, up to a permutation and a scale.


Title:Handbook of Blind Source Separation
Author: Pierre Comon, Christian Jutten
Publisher:Academic Press - 2010-02-17
ISBN-13:

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