A METHOD TO ALIGN SEGMENTS OF TIME SERIES BASED ON ENVELOPE FEATURES AS ANCHOR POINTS

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...

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Bibliographic Details
Published inAnales AFA Vol. 30; no. 3; pp. 68 - 71
Main Authors Jarne, C., Alcain, P. N.
Format Journal Article
LanguageEnglish
Spanish
Published 15.10.2019
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Summary: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.
ISSN:1850-1168
1850-1168
DOI:10.31527/analesafa.2019.30.3.68