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Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set
In this paper, we have modified the Detrended Fluctuation Analysis (DFA) using the ternary Cantor set. We propose a modification of the DFA algorithm, Cantor DFA (CDFA), which uses the Cantor set theory of base 3 as a scale for segment sizes in the DFA algorithm. An investigation of the phenomena ge...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622546/ https://www.ncbi.nlm.nih.gov/pubmed/34828203 http://dx.doi.org/10.3390/e23111505 |
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author | Mariani, Maria C. Kubin, William Asante, Peter K. Guthrie, Joe A. Tweneboah, Osei K. |
author_facet | Mariani, Maria C. Kubin, William Asante, Peter K. Guthrie, Joe A. Tweneboah, Osei K. |
author_sort | Mariani, Maria C. |
collection | PubMed |
description | In this paper, we have modified the Detrended Fluctuation Analysis (DFA) using the ternary Cantor set. We propose a modification of the DFA algorithm, Cantor DFA (CDFA), which uses the Cantor set theory of base 3 as a scale for segment sizes in the DFA algorithm. An investigation of the phenomena generated from the proof using real-world time series based on the theory of the Cantor set is also conducted. This new approach helps reduce the overestimation problem of the Hurst exponent of DFA by comparing it with its inverse relationship with [Formula: see text] of the Truncated Lévy Flight (TLF). CDFA is also able to correctly predict the memory behavior of time series. |
format | Online Article Text |
id | pubmed-8622546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86225462021-11-27 Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set Mariani, Maria C. Kubin, William Asante, Peter K. Guthrie, Joe A. Tweneboah, Osei K. Entropy (Basel) Article In this paper, we have modified the Detrended Fluctuation Analysis (DFA) using the ternary Cantor set. We propose a modification of the DFA algorithm, Cantor DFA (CDFA), which uses the Cantor set theory of base 3 as a scale for segment sizes in the DFA algorithm. An investigation of the phenomena generated from the proof using real-world time series based on the theory of the Cantor set is also conducted. This new approach helps reduce the overestimation problem of the Hurst exponent of DFA by comparing it with its inverse relationship with [Formula: see text] of the Truncated Lévy Flight (TLF). CDFA is also able to correctly predict the memory behavior of time series. MDPI 2021-11-13 /pmc/articles/PMC8622546/ /pubmed/34828203 http://dx.doi.org/10.3390/e23111505 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mariani, Maria C. Kubin, William Asante, Peter K. Guthrie, Joe A. Tweneboah, Osei K. Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title | Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title_full | Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title_fullStr | Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title_full_unstemmed | Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title_short | Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set |
title_sort | relationship between continuum of hurst exponents of noise-like time series and the cantor set |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622546/ https://www.ncbi.nlm.nih.gov/pubmed/34828203 http://dx.doi.org/10.3390/e23111505 |
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