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| Titre : | Handbook of blind source separation : independent component analysis and applications | | Type de document : | texte imprime | | Auteurs : | Pierre Comon ; Christian Jutten, Metteur en scène, réalisateur | | Editeur : | Amsterdam : Elsevier | | Année de publication : | 2010 | | Autre Editeur : | Boston (Mass.) : Academic Press | | Collection : | Communications engineering series, 1872-9959 | | Importance : | (XXIV-831 p.) | | Présentation : | ill., couv. ill. en coul. | | Format : | 26 cm | | ISBN/ISSN/EAN : | 978-0-12-374726-6 | | Note générale : | Bibliogr.Index | | Langues : | Anglais | | Mots-clés : | Blind source separation Traitement du signal Analyse numérique | | Index. décimale : | 62138223 | | Résumé : |
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 | | Note de contenu : |
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 | | En ligne : | https://www.amazon.fr/Handbook-Blind-Source-Separation-Applications/dp/012374726 [...] | | Permalink : | ./index.php?lvl=notice_display&id=13294 |
Handbook of blind source separation : independent component analysis and applications [texte imprime] / Pierre Comon ; Christian Jutten, Metteur en scène, réalisateur . - Amsterdam : Elsevier : Boston (Mass.) : Academic Press, 2010 . - (XXIV-831 p.) : ill., couv. ill. en coul. ; 26 cm. - ( Communications engineering series, 1872-9959) . ISBN : 978-0-12-374726-6 Bibliogr.Index Langues : Anglais | Mots-clés : | Blind source separation Traitement du signal Analyse numérique | | Index. décimale : | 62138223 | | Résumé : |
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 | | Note de contenu : |
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 | | En ligne : | https://www.amazon.fr/Handbook-Blind-Source-Separation-Applications/dp/012374726 [...] | | Permalink : | ./index.php?lvl=notice_display&id=13294 |
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