Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields

dc.contributor.author	Nicolis, Orietta
dc.contributor.author	Mateu, Jorge
dc.contributor.author	Contreras-Reyes, Javier E.
dc.date.accessioned	2021-10-25T14:35:16Z
dc.date.available	2021-10-25T14:35:16Z
dc.date.issued	2020-02
dc.description.abstract	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 Renyi entropies. A simulation study was performed for showing the ability of the method to characterize 2D (in this case, α = 2) self-similar processes. © 2020 by the authors.	es
dc.description.sponsorship	Indexación: Scopus	es
dc.identifier.citation	Entropy Open Access Volume 22, Issue 21 February 2020 Article number 196	es
dc.identifier.issn	10994300
dc.identifier.uri	http://repositorio.unab.cl/xmlui/handle/ria/20613
dc.language.iso	en	es
dc.publisher	MDPI AG	es
dc.subject	Fractional brownian motion; Rényi entropy; Shannon entropy; Tsallis entropy; Wavelets	es
dc.title	Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields	es
dc.type	Artículo	es

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