Add to ORKGWe revisit the Fisher-Shannon representation plane H × F, evaluated using the Bandt and Pompe recipe to assign a probability distribution to a time series. Several stochastic dynamical (noises with f-k, k ≥ 0, power spectrum) and chaotic processes (27 chaotic maps) are analyzed so as to illustrate the approach. Our main achievement is uncovering the informational properties of the planar location.Facultad de Ciencias ExactasInstituto de Física La Plat
Most of the time series in nature are a mixture of signals with deterministic and random dynamics. T...
An important component of the mathematical definition of chaos is sensitivity to initial conditions....
The nonlinearly scaled distributions of the strengths of the orthogonal modes in the data of a time ...
We revisit the Fisher-Shannon representation plane H × F, evaluated using the Bandt and Pompe recipe...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
<p> is used to classify relevant processes, such as constant/periodic signals, white and coloured no...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
By appealing to a long list of different nonlinear maps we review the characterization of time serie...
A recently proposed methodology called the Horizontal Visibility Graph (HVG) [Luque et al., Phys. Re...
AbstractA fundamental question of data analysis is how to distinguish noise corrupted deterministic ...
In this paper we introduce a multiscale symbolic information-theory approach for discriminating nonl...
A recently proposed methodology called the Horizontal Visibility Graph (HVG) [Luque et al., Phys. Re...
By appealing to a long list of different nonlinear maps we review the characterization of ...
By recourse to appropriate information theory quantifiers (normalized Shannon entropy and Martin-Pla...
An important component of the mathematical definition of chaos is sensitivity to initial conditions....
Most of the time series in nature are a mixture of signals with deterministic and random dynamics. T...
An important component of the mathematical definition of chaos is sensitivity to initial conditions....
The nonlinearly scaled distributions of the strengths of the orthogonal modes in the data of a time ...
We revisit the Fisher-Shannon representation plane H × F, evaluated using the Bandt and Pompe recipe...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
<p> is used to classify relevant processes, such as constant/periodic signals, white and coloured no...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
By appealing to a long list of different nonlinear maps we review the characterization of time serie...
A recently proposed methodology called the Horizontal Visibility Graph (HVG) [Luque et al., Phys. Re...
AbstractA fundamental question of data analysis is how to distinguish noise corrupted deterministic ...
In this paper we introduce a multiscale symbolic information-theory approach for discriminating nonl...
A recently proposed methodology called the Horizontal Visibility Graph (HVG) [Luque et al., Phys. Re...
By appealing to a long list of different nonlinear maps we review the characterization of ...
By recourse to appropriate information theory quantifiers (normalized Shannon entropy and Martin-Pla...
An important component of the mathematical definition of chaos is sensitivity to initial conditions....
Most of the time series in nature are a mixture of signals with deterministic and random dynamics. T...
An important component of the mathematical definition of chaos is sensitivity to initial conditions....
The nonlinearly scaled distributions of the strengths of the orthogonal modes in the data of a time ...