Cargando…
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...
Autores principales: | , |
---|---|
Lenguaje: | eng |
Publicado: |
Morgan & Claypool Publishers
2011
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1613911 |
_version_ | 1780932311853826048 |
---|---|
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 |
record_format | invenio |
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 |