Wavelets Analysis for Time Series

Wavelet analysis has been widely used to analyze time series and has countless applications in astronomy. Because of its characteristics it is a method that is well suited to approximate functions, eliminate noise, detect points of change, discontinuities and periodicities. In this article an introd...

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Autor principal: Christen, Alejandra
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Astronómicas
Methods: statistical
Methods: analytical
wavelets
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/167767
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-167767
record_format dspace
spelling I19-R120-10915-1677672024-07-04T20:02:25Z http://sedici.unlp.edu.ar/handle/10915/167767 Wavelets Analysis for Time Series Christen, Alejandra 2019-11 2021 2024-07-04T14:31:57Z en Ciencias Astronómicas Methods: statistical Methods: analytical wavelets Wavelet analysis has been widely used to analyze time series and has countless applications in astronomy. Because of its characteristics it is a method that is well suited to approximate functions, eliminate noise, detect points of change, discontinuities and periodicities. In this article an introduction to the wavelet theory and its use in time series is presented. Numerical simulations and some real examples are developed in the software R. Facultad de Ciencias Astronómicas y Geofísicas Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 127-158
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
Methods: statistical
Methods: analytical
wavelets
spellingShingle Ciencias Astronómicas
Methods: statistical
Methods: analytical
wavelets
Christen, Alejandra
Wavelets Analysis for Time Series
topic_facet Ciencias Astronómicas
Methods: statistical
Methods: analytical
wavelets
description Wavelet analysis has been widely used to analyze time series and has countless applications in astronomy. Because of its characteristics it is a method that is well suited to approximate functions, eliminate noise, detect points of change, discontinuities and periodicities. In this article an introduction to the wavelet theory and its use in time series is presented. Numerical simulations and some real examples are developed in the software R.
format Objeto de conferencia
Objeto de conferencia
author Christen, Alejandra
author_facet Christen, Alejandra
author_sort Christen, Alejandra
title Wavelets Analysis for Time Series
title_short Wavelets Analysis for Time Series
title_full Wavelets Analysis for Time Series
title_fullStr Wavelets Analysis for Time Series
title_full_unstemmed Wavelets Analysis for Time Series
title_sort wavelets analysis for time series
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/167767
work_keys_str_mv AT christenalejandra waveletsanalysisfortimeseries
_version_ 1807223562006691840

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