Acknowledgements The author wishes to acknowledge G. Giacomelli, M. Mulansky, and L. Ricci for early discussions.Peer reviewedPublisher PD
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quant...
We construct a complexity measure from first principles, as an average over the ‘‘obstruction agains...
We present some new results that relate information to chaotic dynamics. In our approach the quantit...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
Measuring the complexity of dynamical systems is important in order to classify them and better unde...
In this thesis we introduce an approach to the study of time series study by nonlinear dynamical sys...
Time series from chaotic and stochastic systems shape properties which can make it hard to distingui...
ch notions. (1--8) On the one hand, this variety reflects the fact that dynamics of systems contai...
Different aspects of the predictability problem in dynamical systems are reviewed. The deep relation...
We define chaotic motion for dynamical systems acting in finite, discrete spaces via the determinist...
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not....
By appealing to a long list of different nonlinear maps we review the characterization of ...
We introduce a measure of complexity in terms of the average number of bits per time unit necessary ...
By appealing to a long list of different nonlinear maps we review the characterization of time serie...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quant...
We construct a complexity measure from first principles, as an average over the ‘‘obstruction agains...
We present some new results that relate information to chaotic dynamics. In our approach the quantit...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
Measuring the complexity of dynamical systems is important in order to classify them and better unde...
In this thesis we introduce an approach to the study of time series study by nonlinear dynamical sys...
Time series from chaotic and stochastic systems shape properties which can make it hard to distingui...
ch notions. (1--8) On the one hand, this variety reflects the fact that dynamics of systems contai...
Different aspects of the predictability problem in dynamical systems are reviewed. The deep relation...
We define chaotic motion for dynamical systems acting in finite, discrete spaces via the determinist...
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not....
By appealing to a long list of different nonlinear maps we review the characterization of ...
We introduce a measure of complexity in terms of the average number of bits per time unit necessary ...
By appealing to a long list of different nonlinear maps we review the characterization of time serie...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quant...
We construct a complexity measure from first principles, as an average over the ‘‘obstruction agains...
We present some new results that relate information to chaotic dynamics. In our approach the quantit...
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