| Texto completo | |
| Autor(es): |
Eroglu, Deniz
;
Peron, Thomas K. D. M.
;
Marwan, Nobert
;
Rodrigues, Francisco A.
;
Costa, Luciano da F.
;
Sebek, Michael
;
Kiss, Istvan Z.
;
Kurths, Juergen
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Physical Review E; v. 90, n. 4, p. 7-pg., 2014-10-21. |
| Resumo | |
The Shannon entropy of a time series is a standard measure to assess the complexity of a dynamical process and can be used to quantify transitions between different dynamical regimes. An alternative way of quantifying complexity is based on state recurrences, such as those available in recurrence quantification analysis. Although varying definitions for recurrence-based entropies have been suggested so far, for some cases they reveal inconsistent results. Here we suggest a method based on weighted recurrence plots and show that the associated Shannon entropy is positively correlated with the largest Lyapunov exponent. We demonstrate the potential on a prototypical example as well as on experimental data of a chemical experiment. (AU) | |
| Processo FAPESP: | 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias |
| Beneficiário: | Roberto Marcondes Cesar Junior |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 13/26416-9 - Modelagem de processos dinâmicos em redes complexas |
| Beneficiário: | Francisco Aparecido Rodrigues |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 12/22160-7 - Sincronização de Osciladores de Kuramoto em Redes Complexas |
| Beneficiário: | Thomas Kaue Dal Maso Peron |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |