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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 N, embedded dimension m, and embedded delay [Formula: see text]....
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| Опубликовано в: : | Entropy (Basel) |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514869/ https://ncbi.nlm.nih.gov/pubmed/33267099 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21040385 |
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