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

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 chos...

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Detalles Bibliográficos
Autores principales: Funes, Gustavo Luis, Fernández, Ángel, Pérez, Darío Gabriel, Zunino, Luciano José, Serrano, Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/104247
http://hdl.handle.net/11336/7434
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-104247
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
spellingShingle Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
Funes, Gustavo Luis
Fernández, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
topic_facet Física
Ingeniería
Stochastic processes
Atmospheric optics
Turbulence
Wave-front sensing
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.
format Articulo
Articulo
author Funes, Gustavo Luis
Fernández, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
author_facet Funes, Gustavo Luis
Fernández, Ángel
Pérez, Darío Gabriel
Zunino, Luciano José
Serrano, Eduardo
author_sort Funes, Gustavo Luis
title Estimating the optimal sampling rate using wavelet transform: an application to optimal turbulence
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
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/104247
http://hdl.handle.net/11336/7434
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AT zuninolucianojose estimatingtheoptimalsamplingrateusingwavelettransformanapplicationtooptimalturbulence
AT serranoeduardo estimatingtheoptimalsamplingrateusingwavelettransformanapplicationtooptimalturbulence
bdutipo_str Repositorios
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