A simple approximation for Fast Nonlinear Deconvolution

Autores
Solé Casals, Jordi; Caiafa, César Federico
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. In this paper we propose a simple method to reduce computational time for the inversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.
Fil: Solé Casals, Jordi. University of Vic; España
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
5th International Conference on Nonlinear Speech Processing, NOLISP 2011
Las Palmas
España
European Association for Signal Processing
Materia
Blind deconvolution
Speech processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/148178
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/148178
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A simple approximation for Fast Nonlinear DeconvolutionSolé Casals, JordiCaiafa, César FedericoBlind deconvolutionSpeech processinghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. In this paper we propose a simple method to reduce computational time for the inversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.Fil: Solé Casals, Jordi. University of Vic; EspañaFil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina5th International Conference on Nonlinear Speech Processing, NOLISP 2011Las PalmasEspañaEuropean Association for Signal ProcessingSpringerTravieso González, Carlos M.Alonso Hernández, Jesús B.2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/148178A simple approximation for Fast Nonlinear Deconvolution; 5th International Conference on Nonlinear Speech Processing, NOLISP 2011; Las Palmas; España; 2011; 55-62978-3-642-25020-00302-9743CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1007/978-3-642-25020-0_8info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/book/10.1007/978-3-642-25020-0Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:56:57Zoai:ri.conicet.gov.ar:11336/148178instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:56:58.101CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A simple approximation for Fast Nonlinear Deconvolution
title A simple approximation for Fast Nonlinear Deconvolution
spellingShingle A simple approximation for Fast Nonlinear Deconvolution
Solé Casals, Jordi
Blind deconvolution
Speech processing
title_short A simple approximation for Fast Nonlinear Deconvolution
title_full A simple approximation for Fast Nonlinear Deconvolution
title_fullStr A simple approximation for Fast Nonlinear Deconvolution
title_full_unstemmed A simple approximation for Fast Nonlinear Deconvolution
title_sort A simple approximation for Fast Nonlinear Deconvolution
dc.creator.none.fl_str_mv Solé Casals, Jordi
Caiafa, César Federico
author Solé Casals, Jordi
author_facet Solé Casals, Jordi
Caiafa, César Federico
author_role author
author2 Caiafa, César Federico
author2_role author
dc.contributor.none.fl_str_mv Travieso González, Carlos M.
Alonso Hernández, Jesús B.
dc.subject.none.fl_str_mv Blind deconvolution
Speech processing
topic Blind deconvolution
Speech processing
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. In this paper we propose a simple method to reduce computational time for the inversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.
Fil: Solé Casals, Jordi. University of Vic; España
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
5th International Conference on Nonlinear Speech Processing, NOLISP 2011
Las Palmas
España
European Association for Signal Processing
description When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. In this paper we propose a simple method to reduce computational time for the inversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/148178
A simple approximation for Fast Nonlinear Deconvolution; 5th International Conference on Nonlinear Speech Processing, NOLISP 2011; Las Palmas; España; 2011; 55-62
978-3-642-25020-0
0302-9743
CONICET Digital
CONICET
url http://hdl.handle.net/11336/148178
identifier_str_mv A simple approximation for Fast Nonlinear Deconvolution; 5th International Conference on Nonlinear Speech Processing, NOLISP 2011; Las Palmas; España; 2011; 55-62
978-3-642-25020-0
0302-9743
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1007/978-3-642-25020-0_8
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/book/10.1007/978-3-642-25020-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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