Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy

In this work, we analyze two important stochastic processes, the fractional Brownian motion and fractional Gaussian noise, within the framework of the Tsallis permutation entropy. This entropic measure, evaluated after using the Bandt & Pompe method to extract the associated probability distribu...

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Autores principales: Zunino, L., Pérez, D.G., Kowalski, A., Martín, M.T., Garavaglia, M., Plastino, A., Rosso, O.A.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03784371_v387_n24_p6057_Zunino
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spelling todo:paper_03784371_v387_n24_p6057_Zunino2023-10-03T15:32:53Z Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy Zunino, L. Pérez, D.G. Kowalski, A. Martín, M.T. Garavaglia, M. Plastino, A. Rosso, O.A. Bandt & Pompe method Fractional Brownian motion Fractional Gaussian noise Tsallis entropy Brownian movement Gaussian noise (electronic) Risk assessment Stochastic programming Trellis codes Entropic indexes Fractional Brownian motion Fractional Gaussian noise Optimum value Permutation entropy Pow erful tool Ranges of values Stochastic processing Tsallis entropy Probability distributions In this work, we analyze two important stochastic processes, the fractional Brownian motion and fractional Gaussian noise, within the framework of the Tsallis permutation entropy. This entropic measure, evaluated after using the Bandt & Pompe method to extract the associated probability distribution, is shown to be a powerful tool to characterize fractal stochastic processes. It allows for a better discrimination of the processes than the Shannon counterpart for appropriate ranges of values of the entropic index. Moreover, we find the optimum value of this entropic index for the stochastic processes under study. © 2008 Elsevier B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v387_n24_p6057_Zunino
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bandt & Pompe method
Fractional Brownian motion
Fractional Gaussian noise
Tsallis entropy
Brownian movement
Gaussian noise (electronic)
Risk assessment
Stochastic programming
Trellis codes
Entropic indexes
Fractional Brownian motion
Fractional Gaussian noise
Optimum value
Permutation entropy
Pow erful tool
Ranges of values
Stochastic processing
Tsallis entropy
Probability distributions
spellingShingle Bandt & Pompe method
Fractional Brownian motion
Fractional Gaussian noise
Tsallis entropy
Brownian movement
Gaussian noise (electronic)
Risk assessment
Stochastic programming
Trellis codes
Entropic indexes
Fractional Brownian motion
Fractional Gaussian noise
Optimum value
Permutation entropy
Pow erful tool
Ranges of values
Stochastic processing
Tsallis entropy
Probability distributions
Zunino, L.
Pérez, D.G.
Kowalski, A.
Martín, M.T.
Garavaglia, M.
Plastino, A.
Rosso, O.A.
Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
topic_facet Bandt & Pompe method
Fractional Brownian motion
Fractional Gaussian noise
Tsallis entropy
Brownian movement
Gaussian noise (electronic)
Risk assessment
Stochastic programming
Trellis codes
Entropic indexes
Fractional Brownian motion
Fractional Gaussian noise
Optimum value
Permutation entropy
Pow erful tool
Ranges of values
Stochastic processing
Tsallis entropy
Probability distributions
description In this work, we analyze two important stochastic processes, the fractional Brownian motion and fractional Gaussian noise, within the framework of the Tsallis permutation entropy. This entropic measure, evaluated after using the Bandt & Pompe method to extract the associated probability distribution, is shown to be a powerful tool to characterize fractal stochastic processes. It allows for a better discrimination of the processes than the Shannon counterpart for appropriate ranges of values of the entropic index. Moreover, we find the optimum value of this entropic index for the stochastic processes under study. © 2008 Elsevier B.V. All rights reserved.
format JOUR
author Zunino, L.
Pérez, D.G.
Kowalski, A.
Martín, M.T.
Garavaglia, M.
Plastino, A.
Rosso, O.A.
author_facet Zunino, L.
Pérez, D.G.
Kowalski, A.
Martín, M.T.
Garavaglia, M.
Plastino, A.
Rosso, O.A.
author_sort Zunino, L.
title Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
title_short Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
title_full Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
title_fullStr Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
title_full_unstemmed Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy
title_sort fractional brownian motion, fractional gaussian noise, and tsallis permutation entropy
url http://hdl.handle.net/20.500.12110/paper_03784371_v387_n24_p6057_Zunino
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