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Sparse adaptive filters for echo cancellation

Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the spar...

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Detalles Bibliográficos
Autores principales: Paleologu, Constantin, Benesty, Jacob
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1613911
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author Paleologu, Constantin
Benesty, Jacob
author_facet Paleologu, Constantin
Benesty, Jacob
author_sort Paleologu, Constantin
collection CERN
description Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellati
id cern-1613911
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher Morgan & Claypool Publishers
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spelling cern-16139112021-04-21T22:10:52Zhttp://cds.cern.ch/record/1613911engPaleologu, ConstantinBenesty, JacobSparse adaptive filters for echo cancellationEngineeringAdaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellatiMorgan & Claypool Publishersoai:cds.cern.ch:16139112011
spellingShingle Engineering
Paleologu, Constantin
Benesty, Jacob
Sparse adaptive filters for echo cancellation
title Sparse adaptive filters for echo cancellation
title_full Sparse adaptive filters for echo cancellation
title_fullStr Sparse adaptive filters for echo cancellation
title_full_unstemmed Sparse adaptive filters for echo cancellation
title_short Sparse adaptive filters for echo cancellation
title_sort sparse adaptive filters for echo cancellation
topic Engineering
url http://cds.cern.ch/record/1613911
work_keys_str_mv AT paleologuconstantin sparseadaptivefiltersforechocancellation
AT benestyjacob sparseadaptivefiltersforechocancellation