UN MÉTODO PARA ALINEAR SERIES TEMPORALES BASADO EN CARACTERÍSTICAS DE LA ENVOLVENTE COMO PUNTO DE ANCLAJE

  • P. N. Alcain
  • C. Jarne

Resumen

In the field 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. Sometimes 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.

Publicado
2019-10-07
##submission.howToCite##
ALCAIN, P. N.; JARNE, C.. UN MÉTODO PARA ALINEAR SERIES TEMPORALES BASADO EN CARACTERÍSTICAS DE LA ENVOLVENTE COMO PUNTO DE ANCLAJE. ANALES AFA, [S.l.], v. 30, n. 3, p. 68-71, oct. 2019. ISSN 1850-1168. Disponible en: <https://anales.fisica.org.ar/journal/index.php/analesafa/article/view/2238>. Fecha de acceso: 09 dic. 2019
Sección
Física Aplicada