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
| Título: | Un método para alinear series temporales basado en características de la envolvente como punto de anclaje |
| Título alt: | A method to align segments of time series based on envelope features as anchor points |
| Autor: | Jarne, Cecilia Gisele; Alcain, Pablo Nicolás |
| Fecha: | 2019-10 |
| Título revista: | Anales AFA |
| Editor: | Asociación Física Argentina |
| Handle: | http://hdl.handle.net/20.500.12110/afa_v30_n03_p068 |
| Ciudad: | Villa Martelli, Buenos Aires |
| Idioma: | Inglés |
| Keywords: | SIGNAL ALIGNMENT; TIME SERIES; AVERAGING; PYTHON CODE; OPEN SOURCE |
| Año: | 2019 |
| Volumen: | 30 |
| Número: | 03 |
| DOI: | https://doi.org/10.31527/analesafa.2019.30.3.68 |
| Título revista abreviado: | An. (Asoc. Fís. Argent., En línea) |
| ISSN: | 1850-1168 |
| Formato: | |
| PDF: | https://bibliotecadigital.exactas.uba.ar/download/afa/afa_v30_n03_p068.pdf |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/afa/document/afa_v30_n03_p068 |
