Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence

Autores
Funes, Gustavo Luis; Fernández, Angel; Peréz, Darío G.; Zunino, Luciano José; Serrano, Eduardo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sampling rate and frequency content determination for optical quantities related to light propagation through turbulence are paramount experimental topics. Some papers about estimating properties of the optical turbulence seem to use ad hoc assumptions to set the sampling frequency used; this chosen sampling rate is assumed good enough to perform a proper measurement. On the other hand, other authors estimate the optimal sampling rate via fast Fourier transform of data series associated to the experiment. When possible, with the help of analytical models, cut-off frequencies, or frequency content, can be determined; yet, these approaches require prior knowledge of the optical turbulence. The aim of this paper is to propose an alternative, practical, experimental method to estimate a proper sampling rate. By means of the discrete wavelet transform, this approach can prevent any loss of information and, at the same time, avoid oversampling. Moreover, it is independent of the statistical model imposed on the turbulence.
Fil: Funes, Gustavo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina
Fil: Fernández, Angel. Pontificia Universidad Catolica de Valparaiso; Chile. Universidad Tecnica Federico Santa María; Chile
Fil: Peréz, Darío G.. Pontificia Universidad Catolica de Valparaiso; Chile
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina
Fil: Serrano, Eduardo. Universidad Nacional de San Martín; Argentina
Materia
Stochastic processes.
Atmospheric optics.
Turbulence.
Wave-front sensing.
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:11336/7434
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulenceFunes, Gustavo LuisFernández, AngelPeréz, Darío G.Zunino, Luciano JoséSerrano, EduardoStochastic processes.Atmospheric optics.Turbulence.Wave-front sensing.https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Sampling rate and frequency content determination for optical quantities related to light propagation through turbulence are paramount experimental topics. Some papers about estimating properties of the optical turbulence seem to use ad hoc assumptions to set the sampling frequency used; this chosen sampling rate is assumed good enough to perform a proper measurement. On the other hand, other authors estimate the optimal sampling rate via fast Fourier transform of data series associated to the experiment. When possible, with the help of analytical models, cut-off frequencies, or frequency content, can be determined; yet, these approaches require prior knowledge of the optical turbulence. The aim of this paper is to propose an alternative, practical, experimental method to estimate a proper sampling rate. By means of the discrete wavelet transform, this approach can prevent any loss of information and, at the same time, avoid oversampling. Moreover, it is independent of the statistical model imposed on the turbulence.Fil: Funes, Gustavo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); ArgentinaFil: Fernández, Angel. Pontificia Universidad Catolica de Valparaiso; Chile. Universidad Tecnica Federico Santa María; ChileFil: Peréz, Darío G.. Pontificia Universidad Catolica de Valparaiso; ChileFil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); ArgentinaFil: Serrano, Eduardo. Universidad Nacional de San Martín; ArgentinaOptical Society Of America2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7434Funes, Gustavo Luis; Fernández, Angel; Peréz, Darío G.; Zunino, Luciano José; Serrano, Eduardo; Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence; Optical Society Of America; Optics Express; 21; 13; 6-2013; 15230-152361094-4087enginfo:eu-repo/semantics/altIdentifier/url/https://www.osapublishing.org/oe/abstract.cfm?uri=oe-21-13-15230info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:39:11Zoai:ri.conicet.gov.ar:11336/7434instacron: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:34982025-10-22 11:39:11.909CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
title Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
spellingShingle Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
Funes, Gustavo Luis
Stochastic processes.
Atmospheric optics.
Turbulence.
Wave-front sensing.
title_short Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
title_full Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
title_fullStr Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
title_full_unstemmed Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
title_sort Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
dc.creator.none.fl_str_mv Funes, Gustavo Luis
Fernández, Angel
Peréz, Darío G.
Zunino, Luciano José
Serrano, Eduardo
author Funes, Gustavo Luis
author_facet Funes, Gustavo Luis
Fernández, Angel
Peréz, Darío G.
Zunino, Luciano José
Serrano, Eduardo
author_role author
author2 Fernández, Angel
Peréz, Darío G.
Zunino, Luciano José
Serrano, Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Stochastic processes.
Atmospheric optics.
Turbulence.
Wave-front sensing.
topic Stochastic processes.
Atmospheric optics.
Turbulence.
Wave-front sensing.
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Sampling rate and frequency content determination for optical quantities related to light propagation through turbulence are paramount experimental topics. Some papers about estimating properties of the optical turbulence seem to use ad hoc assumptions to set the sampling frequency used; this chosen sampling rate is assumed good enough to perform a proper measurement. On the other hand, other authors estimate the optimal sampling rate via fast Fourier transform of data series associated to the experiment. When possible, with the help of analytical models, cut-off frequencies, or frequency content, can be determined; yet, these approaches require prior knowledge of the optical turbulence. The aim of this paper is to propose an alternative, practical, experimental method to estimate a proper sampling rate. By means of the discrete wavelet transform, this approach can prevent any loss of information and, at the same time, avoid oversampling. Moreover, it is independent of the statistical model imposed on the turbulence.
Fil: Funes, Gustavo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina
Fil: Fernández, Angel. Pontificia Universidad Catolica de Valparaiso; Chile. Universidad Tecnica Federico Santa María; Chile
Fil: Peréz, Darío G.. Pontificia Universidad Catolica de Valparaiso; Chile
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina
Fil: Serrano, Eduardo. Universidad Nacional de San Martín; Argentina
description Sampling rate and frequency content determination for optical quantities related to light propagation through turbulence are paramount experimental topics. Some papers about estimating properties of the optical turbulence seem to use ad hoc assumptions to set the sampling frequency used; this chosen sampling rate is assumed good enough to perform a proper measurement. On the other hand, other authors estimate the optimal sampling rate via fast Fourier transform of data series associated to the experiment. When possible, with the help of analytical models, cut-off frequencies, or frequency content, can be determined; yet, these approaches require prior knowledge of the optical turbulence. The aim of this paper is to propose an alternative, practical, experimental method to estimate a proper sampling rate. By means of the discrete wavelet transform, this approach can prevent any loss of information and, at the same time, avoid oversampling. Moreover, it is independent of the statistical model imposed on the turbulence.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/7434
Funes, Gustavo Luis; Fernández, Angel; Peréz, Darío G.; Zunino, Luciano José; Serrano, Eduardo; Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence; Optical Society Of America; Optics Express; 21; 13; 6-2013; 15230-15236
1094-4087
url http://hdl.handle.net/11336/7434
identifier_str_mv Funes, Gustavo Luis; Fernández, Angel; Peréz, Darío G.; Zunino, Luciano José; Serrano, Eduardo; Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence; Optical Society Of America; Optics Express; 21; 13; 6-2013; 15230-15236
1094-4087
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.osapublishing.org/oe/abstract.cfm?uri=oe-21-13-15230
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.publisher.none.fl_str_mv Optical Society Of America
publisher.none.fl_str_mv Optical Society Of America
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
_version_ 1846782054094602240
score 12.982451

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