Detecting dynamical changes in time series by using the Jensen Shannon divergence-Reference-Cited by-同舟云学术

Detecting dynamical changes in time series by using the Jensen Shannon divergence

Published:2017-08 Issue:8 Volume:27 Page:083118
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Mateos D. M.¹,Riveaud L. E.²,Lamberti P. W.²

Affiliation:

1. Neuroscience and Mental Health Programme, Division of Neurology, Hospital for Sick Children, Institute of Medical Science and Department of Paediatrics, University of Toronto, Toronto, Ontario M5G 0A4, Canada

2. Facultad de Matemática, Astronomía, Física y Computación (FaMAF), Universidad Nacional de Córdoba, CONICET, Córdoba, Argentina

Funder

Secretaria de Ciencia y Tecnica, Universidad Nacional Cordoba

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4999613

Reference49 articles.

1. Chaos or noise: Difficulties of a distinction

2. Autocorrelations of a certain chaos

3. Distinguishing Noise from Chaos

4. Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach

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