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Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields
The aim of this work was to extend the results of Perez et al. (Physica A (2006), 365 (2), 282–288) to the two-dimensional (2D) fractional Brownian field. In particular, we defined Shannon entropy using the wavelet spectrum from which the Hurst exponent is estimated by the regression of the logarith...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516627/ https://www.ncbi.nlm.nih.gov/pubmed/33285971 http://dx.doi.org/10.3390/e22020196 |
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author | Nicolis, Orietta Mateu, Jorge Contreras-Reyes, Javier E. |
author_facet | Nicolis, Orietta Mateu, Jorge Contreras-Reyes, Javier E. |
author_sort | Nicolis, Orietta |
collection | PubMed |
description | The aim of this work was to extend the results of Perez et al. (Physica A (2006), 365 (2), 282–288) to the two-dimensional (2D) fractional Brownian field. In particular, we defined Shannon entropy using the wavelet spectrum from which the Hurst exponent is estimated by the regression of the logarithm of the square coefficients over the levels of resolutions. Using the same methodology. we also defined two other entropies in 2D: Tsallis and the Rényi entropies. A simulation study was performed for showing the ability of the method to characterize 2D (in this case, [Formula: see text]) self-similar processes. |
format | Online Article Text |
id | pubmed-7516627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75166272020-11-09 Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields Nicolis, Orietta Mateu, Jorge Contreras-Reyes, Javier E. Entropy (Basel) Article The aim of this work was to extend the results of Perez et al. (Physica A (2006), 365 (2), 282–288) to the two-dimensional (2D) fractional Brownian field. In particular, we defined Shannon entropy using the wavelet spectrum from which the Hurst exponent is estimated by the regression of the logarithm of the square coefficients over the levels of resolutions. Using the same methodology. we also defined two other entropies in 2D: Tsallis and the Rényi entropies. A simulation study was performed for showing the ability of the method to characterize 2D (in this case, [Formula: see text]) self-similar processes. MDPI 2020-02-07 /pmc/articles/PMC7516627/ /pubmed/33285971 http://dx.doi.org/10.3390/e22020196 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nicolis, Orietta Mateu, Jorge Contreras-Reyes, Javier E. Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title | Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title_full | Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title_fullStr | Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title_full_unstemmed | Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title_short | Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields |
title_sort | wavelet-based entropy measures to characterize two-dimensional fractional brownian fields |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516627/ https://www.ncbi.nlm.nih.gov/pubmed/33285971 http://dx.doi.org/10.3390/e22020196 |
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