Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications
Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: time series length <i>N</i>, embedded dimension <i>m</i>, a...
Main Authors: | David Cuesta-Frau, Juan Pablo Murillo-Escobar, Diana Alexandra Orrego, Edilson Delgado-Trejos |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/4/385 |
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