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dc.creatorRajković, Milan
dc.date.accessioned2018-03-03T14:05:55Z
dc.date.available2018-03-03T14:05:55Z
dc.date.issued2004
dc.identifier.issn0378-4371 (print)
dc.identifier.urihttp://vinar.vin.bg.ac.rs/handle/123456789/6458
dc.description.abstractInformation 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.rightsrestrictedAccessen
dc.sourcePhysica A: Statistical Mechanics and Its Applicationsen
dc.subjectnonextensive statistical mechanicsen
dc.subjectdynamical systemsen
dc.subjecttime seriesen
dc.subjectentropyen
dc.subjectcomplexityen
dc.titleEntropic nonextensivity as a measure of time series complexityen
dc.typearticleen
dcterms.abstractРајковић Милан;
dc.citation.volume340
dc.citation.issue1-3
dc.citation.spage327
dc.citation.epage333
dc.identifier.wos000222924800041
dc.identifier.doi10.1016/j.physa.2004.04.023
dc.citation.rankM22
dc.description.other2nd Sardinian International Conference on News and Expectations in Thermostatistics, Sep 21-28, 2003, Villasimius, Italyen
dc.identifier.scopus2-s2.0-3042773334


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