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Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks
B. R. R. Boaretto, R. C. Budzinski, K. L. Rossi +3
Extracting relevant properties of empirical signals generated by nonlinear, stochastic, and high-dimensional systems is a challenge of complex systems research. Open questions are…
Parameter free determination of optimum time delay
Thiago Lima Prado, Vandertone Santos Machado, Gilberto Corso +2
We show that the same maximum entropy principle applied to recurrence microstates configures a new way to properly compute the time delay necessary to correctly sample a data set.…
Parameter-free quantification of stochastic and chaotic signals
Sergio Roberto Lopes, Thiago de Lima Prado, Gilberto Corso +2
Recurrence entropy is a novel time series complexity quantifier based on recurrence microstates. Here we show that is a \textit{parameter-free} qu…