wavScalogram: an R package with wavelet scalogram tools for time series analysis

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Hauptverfasser: Bolos, Vicente J., Benitez, Rafael
Format: Preprint
Veröffentlicht: 2024
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author Bolos, Vicente J.
Benitez, Rafael
author_facet Bolos, Vicente J.
Benitez, Rafael
contents In this work we present the wavScalogram R package, which contains methods based on wavelet scalograms for time series analysis. These methods are related to two main wavelet tools: the windowed scalogram difference and the scale index. The windowed scalogram difference compares two time series, identifying if their scalograms follow similar patterns at different scales and times, and it is thus a useful complement to other comparison tools such as the squared wavelet coherence. On the other hand, the scale index provides a numerical estimation of the degree of non-periodicity of a time series and it is widely used in many scientific areas.
format Preprint
id arxiv_https___arxiv_org_abs_2410_14274
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle wavScalogram: an R package with wavelet scalogram tools for time series analysis
Bolos, Vicente J.
Benitez, Rafael
Data Analysis, Statistics and Probability
Numerical Analysis
Chaotic Dynamics
65-04, 42C40, 65P20
In this work we present the wavScalogram R package, which contains methods based on wavelet scalograms for time series analysis. These methods are related to two main wavelet tools: the windowed scalogram difference and the scale index. The windowed scalogram difference compares two time series, identifying if their scalograms follow similar patterns at different scales and times, and it is thus a useful complement to other comparison tools such as the squared wavelet coherence. On the other hand, the scale index provides a numerical estimation of the degree of non-periodicity of a time series and it is widely used in many scientific areas.
title wavScalogram: an R package with wavelet scalogram tools for time series analysis
topic Data Analysis, Statistics and Probability
Numerical Analysis
Chaotic Dynamics
65-04, 42C40, 65P20
url https://arxiv.org/abs/2410.14274