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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...

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Autores principales: Nicolis, Orietta, Mateu, Jorge, Contreras-Reyes, Javier E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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