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

Autores
Funes, Gustavo Luis; Fernández, Ángel; Pérez, Darío Gabriel; 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.
Centro de Investigaciones Ópticas
Materia
Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/104247
Acceder
id SEDICI_0016fdb8c1eca5f28860ba8671460653
oai_identifier_str oai:sedici.unlp.edu.ar:10915/104247
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulenceFunes, Gustavo LuisFernández, ÁngelPérez, Darío GabrielZunino, Luciano JoséSerrano, EduardoFísicaIngenieríaStochastic processesAtmospheric opticsTurbulenceWave-front sensingSampling 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.Centro de Investigaciones Ópticas2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf15230-15236http://sedici.unlp.edu.ar/handle/10915/104247enginfo:eu-repo/semantics/altIdentifier/url/http://hdl.handle.net/11336/7434info:eu-repo/semantics/altIdentifier/issn/1094-4087info:eu-repo/semantics/altIdentifier/hdl/11336/7434info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:03:36Zoai:sedici.unlp.edu.ar:10915/104247Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:03:36.297SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Física
Ingeniería
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, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
author Funes, Gustavo Luis
author_facet Funes, Gustavo Luis
Fernández, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
author_role author
author2 Fernández, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
topic Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
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.
Centro de Investigaciones Ópticas
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
Articulo
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://sedici.unlp.edu.ar/handle/10915/104247
url http://sedici.unlp.edu.ar/handle/10915/104247
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://hdl.handle.net/11336/7434
info:eu-repo/semantics/altIdentifier/issn/1094-4087
info:eu-repo/semantics/altIdentifier/hdl/11336/7434
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
15230-15236
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 12.982451

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