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A variational Bayesian approach to number of sources estimation for multichannel blind deconvolution

Author
LIANGSUO MA1 ; AH CHUNG TSOI2
[1] University of Iowa, Iowa City, IA, United States
[2] Hong Kong Baptist University, Kowloon Tong, Hong-Kong
Source

Signal, image and video processing. 2008, Vol 2, Num 2, pp 107-127, 21 p ; ref : 31 ref

ISSNNV
1863-1703
Scientific domain
Telecommunications
Publisher
Springer, Heidelberg
Publication country
Germany
Document type
Article
Language
English
Author keyword
Ensemble learning Independent component analysis Model order selection Multichannel blind deconvolution Variational Bayes
Keyword (fr)
Algorithme approximation Analyse composante indépendante Approximation optimale Canal multiple Capteur mesure Déconvolution aveugle Energie libre Ensemble indépendant Estimation Bayes Fonction objectif Modèle agrégé Modélisation Mélangeage Méthode espace état Pertinence Problème sélection
Keyword (en)
Approximation algorithm Independent component analysis Optimal approximation Multiple channel Measurement sensor Blind deconvolution Free energy Independent set Bayes estimation Objective function Aggregate model Modeling Mixing State space method Relevance Selection problem
Keyword (es)
Algoritmo aproximación Analisis componente independiente Aproximación óptima Canal múltiple Captador medida Desconvolución ciega Energía libre Conjunto independiente Estimación Bayes Función objetivo Modelo agregado Modelización Mezclado Método espacio estado Pertinencia Problema selección
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20449655

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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