Wavelets Analysis for Time Series

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dc.contributor.authorChristen, Alejandra
dc.date.accessioned2022-11-30T02:46:16Z
dc.date.available2022-11-30T02:46:16Z
dc.date.issued2021
dc.description.abstractWavelet 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.en_ES
dc.facultadFacultad de Cienciasen_ES
dc.file.nameChristen_Wav2021.pdf
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7292
dc.languageen
dc.publisherAsociación De Argentina De Astronomía
dc.sourcePulsations Along Stellar Evolution VIII LAPIS Summer School AAA. Workshop Series 12, 2021. M. Kraus & A.F. Torres, eds.
dc.subjectMETHODS: STATISTICAen_ES
dc.subjectMETHODS: ANALYTICALen_ES
dc.subjectWAVELETS.en_ES
dc.titleWavelets Analysis for Time Series
dc.typeArticulo
uv.departamentoInstituto de Fisica y Astronomia

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