Un método para alinear series temporales basado en características de la envolvente como punto de anclaje

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In the eld of time series analysis, there is not a unique recipe for studying signal similarities. When having the repetition of a pattern, averaging different signals of the same nature could be complicated. Some times averaging is essential in the analysis of the data. Here we propose a method to...

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Autores principales: Jarne, C., Alcain, Pablo Nicolás
Lenguaje:Inglés
Publicado: 2019
Materias:
SIGNAL ALIGNMENT
TIME SERIES
AVERAGING
PYTHON CODE
OPEN SOURCE
Acceso en línea:https://hdl.handle.net/20.500.12110/afa_v30_n03_p068
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:afa_v30_n03_p068
record_format dspace
spelling todo:afa_v30_n03_p0682023-10-03T13:25:28Z Un método para alinear series temporales basado en características de la envolvente como punto de anclaje A method to align segments of time series based on envelope features as anchor points Jarne, C. Alcain, Pablo Nicolás SIGNAL ALIGNMENT TIME SERIES AVERAGING PYTHON CODE OPEN SOURCE In the eld of time series analysis, there is not a unique recipe for studying signal similarities. When having the repetition of a pattern, averaging different signals of the same nature could be complicated. Some times averaging is essential in the analysis of the data. Here we propose a method to align and average segments of time series with similar patterns. For this procedure, a simple implementation based on python code is provided. This analysis was inspired by the study of canary sound syllables, but it is possible to apply it in semi-periodic signals of different nature, not necessarily related to sounds Fil: Jarne, C.. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología (UNQ-CONICET). Buenos Aires. Argentina Fil: Alcain, Pablo Nicolás. Universidad de Buenos Aires. Departamento de Física (UBA-FCEN). Buenos Aires. Argentina 2019-10 PDF Inglés info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar https://hdl.handle.net/20.500.12110/afa_v30_n03_p068
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv Inglés
topic SIGNAL ALIGNMENT
TIME SERIES
AVERAGING
PYTHON CODE
OPEN SOURCE
spellingShingle SIGNAL ALIGNMENT
TIME SERIES
AVERAGING
PYTHON CODE
OPEN SOURCE
Jarne, C.
Alcain, Pablo Nicolás
Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
topic_facet SIGNAL ALIGNMENT
TIME SERIES
AVERAGING
PYTHON CODE
OPEN SOURCE
description In the eld of time series analysis, there is not a unique recipe for studying signal similarities. When having the repetition of a pattern, averaging different signals of the same nature could be complicated. Some times averaging is essential in the analysis of the data. Here we propose a method to align and average segments of time series with similar patterns. For this procedure, a simple implementation based on python code is provided. This analysis was inspired by the study of canary sound syllables, but it is possible to apply it in semi-periodic signals of different nature, not necessarily related to sounds
author Jarne, C.
Alcain, Pablo Nicolás
author_facet Jarne, C.
Alcain, Pablo Nicolás
author_sort Jarne, C.
title Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
title_short Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
title_full Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
title_fullStr Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
title_full_unstemmed Un método para alinear series temporales basado en características de la envolvente como punto de anclaje
title_sort un método para alinear series temporales basado en características de la envolvente como punto de anclaje
publishDate 2019
url https://hdl.handle.net/20.500.12110/afa_v30_n03_p068
work_keys_str_mv AT jarnec unmetodoparaalinearseriestemporalesbasadoencaracteristicasdelaenvolventecomopuntodeanclaje
AT alcainpablonicolas unmetodoparaalinearseriestemporalesbasadoencaracteristicasdelaenvolventecomopuntodeanclaje
AT jarnec amethodtoalignsegmentsoftimeseriesbasedonenvelopefeaturesasanchorpoints
AT alcainpablonicolas amethodtoalignsegmentsoftimeseriesbasedonenvelopefeaturesasanchorpoints
_version_ 1807324158705532928

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