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dc.date.accessioned 2024-07-04T14:31:57Z
dc.date.available 2024-07-04T14:31:57Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/167767
dc.description.abstract 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. en
dc.format.extent 127-158 es
dc.language en es
dc.subject Methods: statistical es
dc.subject Methods: analytical es
dc.subject wavelets es
dc.title Wavelets Analysis for Time Series en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-24948-7-2 es
sedici.creator.person Christen, Alejandra es
sedici.subject.materias Ciencias Astronómicas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Astronómicas y Geofísicas es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2019-11
sedici.relation.event VIII La Plata International School: Pulsations Along Stellar Evolution (La Plata, 11 al 22 de noviembre de 2019) es
sedici.description.peerReview peer-review es
sedici.relation.bookTitle Pulsations Along Stellar Evolution: Proceedings of the VIII La Plata International School es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)