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

Entropy (Basel)

Departamento de Estadistica, Universidad del Bio-Bio, Concepcion 4081112, Chile.

Published: February 2020

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, α = 2 ) self-similar processes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516627PMC
http://dx.doi.org/10.3390/e22020196DOI Listing

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