A non‐uniform NSAF‐SF adaptive algorithm

Abstract Speech enhancement and acoustic noise reduction are two important tasks where adaptive filtering algorithms emerge as a competitive solution. Unfortunately, in such applications the convergence rate of the system identification is hampered when the excitation data is highly correlated. Subb...

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Autores principales:	P. P. S. Xavier, M. R. Petraglia, D. B. Haddad
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7a9dfa24b1014b2580664cc21309dd50
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id	oai:doaj.org-article:7a9dfa24b1014b2580664cc21309dd50
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spelling	oai:doaj.org-article:7a9dfa24b1014b2580664cc21309dd502021-11-16T10:18:22ZA non‐uniform NSAF‐SF adaptive algorithm1350-911X0013-519410.1049/ell2.12040https://doaj.org/article/7a9dfa24b1014b2580664cc21309dd502021-01-01T00:00:00Zhttps://doi.org/10.1049/ell2.12040https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract Speech enhancement and acoustic noise reduction are two important tasks where adaptive filtering algorithms emerge as a competitive solution. Unfortunately, in such applications the convergence rate of the system identification is hampered when the excitation data is highly correlated. Subband adaptive algorithms have been developed to address such issue. A recently proposed low‐complexity subband adaptive structure with sparse subfilters is generalised, in order to permit a non‐uniform filter bank structure. This generalisation brings additional flexibility to the resulting critically decimated adaptive structure, which allows one to adapt it to the idiosyncrasies of the application of interest without losing the perfect‐reconstruction property. A closed‐form solution for the optimal values that the adaptive coefficient should assume in order to accurately emulate a given impulse response is derived. Simulations reveal that the resulting algorithm may outperform recently published subband adaptive filtering algorithms, thereby requiring even less computational effort.P. P. S. XavierM. R. PetragliaD. B. HaddadWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 1, Pp 38-41 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Electrical engineering. Electronics. Nuclear engineering TK1-9971 P. P. S. Xavier M. R. Petraglia D. B. Haddad A non‐uniform NSAF‐SF adaptive algorithm
description	Abstract Speech enhancement and acoustic noise reduction are two important tasks where adaptive filtering algorithms emerge as a competitive solution. Unfortunately, in such applications the convergence rate of the system identification is hampered when the excitation data is highly correlated. Subband adaptive algorithms have been developed to address such issue. A recently proposed low‐complexity subband adaptive structure with sparse subfilters is generalised, in order to permit a non‐uniform filter bank structure. This generalisation brings additional flexibility to the resulting critically decimated adaptive structure, which allows one to adapt it to the idiosyncrasies of the application of interest without losing the perfect‐reconstruction property. A closed‐form solution for the optimal values that the adaptive coefficient should assume in order to accurately emulate a given impulse response is derived. Simulations reveal that the resulting algorithm may outperform recently published subband adaptive filtering algorithms, thereby requiring even less computational effort.
format	article
author	P. P. S. Xavier M. R. Petraglia D. B. Haddad
author_facet	P. P. S. Xavier M. R. Petraglia D. B. Haddad
author_sort	P. P. S. Xavier
title	A non‐uniform NSAF‐SF adaptive algorithm
title_short	A non‐uniform NSAF‐SF adaptive algorithm
title_full	A non‐uniform NSAF‐SF adaptive algorithm
title_fullStr	A non‐uniform NSAF‐SF adaptive algorithm
title_full_unstemmed	A non‐uniform NSAF‐SF adaptive algorithm
title_sort	non‐uniform nsaf‐sf adaptive algorithm
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/7a9dfa24b1014b2580664cc21309dd50
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A non‐uniform NSAF‐SF adaptive algorithm

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