Abstract

JARNE, C.  and  ALCAIN, P. N.. A method to align segments of time series based on envelope features as anchor points points. An. AFA [online]. 2019, vol.30, n.3, pp.68-71. ISSN 0327-358X.

In the fíeld of time series analysis, there is not a unique recipe for studying signal similarities. When having the repetition of a pattern, averaging difíerent 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 difíerent nature, not necessarily related to sounds.

Keywords : Signal Alignment; Time series; Averaging; Python code; Open source I Introduction.

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