Entropic nonextensivity as a measure of time series complexity

dc.creator	Rajković, Milan
dc.date.accessioned	2018-03-03T14:05:55Z
dc.date.available	2018-03-03T14:05:55Z
dc.date.issued	2004
dc.identifier.issn	0378-4371
dc.identifier.uri	https://vinar.vin.bg.ac.rs/handle/123456789/6458
dc.description.abstract	Information entropy is applied to the analysis of time series generated by dynamical systems. Complexity of a temporal or spatio-temporal signal is defined as the difference between the sum of entropies of the local linear regions of the trajectory manifold, and the entropy of the globally linearized manifold. When the entropies are Tsallis entropies, the complexity is characterized by the value of q. (C) 2004 Elsevier B.V. All rights reserved.	en
dc.rights	restrictedAccess	en
dc.source	Physica A: Statistical Mechanics and Its Applications	en
dc.subject	nonextensive statistical mechanics	en
dc.subject	dynamical systems	en
dc.subject	time series	en
dc.subject	entropy	en
dc.subject	complexity	en
dc.title	Entropic nonextensivity as a measure of time series complexity	en
dc.type	article	en
dcterms.abstract	Рајковић Милан;
dc.citation.volume	340
dc.citation.issue	1-3
dc.citation.spage	327
dc.citation.epage	333
dc.identifier.wos	000222924800041
dc.identifier.doi	10.1016/j.physa.2004.04.023
dc.citation.rank	M22
dc.description.other	2nd Sardinian International Conference on News and Expectations in Thermostatistics, Sep 21-28, 2003, Villasimius, Italy	en
dc.identifier.scopus	2-s2.0-3042773334

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