106 citations · 1.1k across the 43 of their papers we have counts for
7 papers · 1 filter
20 years of ordinal patterns: Perspectives and challenges
Inmaculada Leyva, Johann Martinez, Cristina Masoller +2
In 2002, in a seminal article, Christoph Bandt and Bernd Pompe proposed a new methodology for the analysis of complex time series, now known as Ordinal Analysis. The ordinal method…
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…
Network diffusion capacity unveiled by dynamical paths
T. A. Schieber, L. C. Carpi, P. M. Pardalos +3
Improving the understanding of diffusive processes in networks with complex topologies is one of the main challenges of today's complexity science. Each network possesses an intrin…
Differentiating resting brain states using ordinal symbolic analysis
C. Quintero-Quiroz, Luis Montesano, A. J. Pons +3
Symbolic methods of analysis are valuable tools for investigating complex time-dependent signals. In particular, the ordinal method defines sequences of symbols according to the or…
Predictability of Extreme Intensity Pulses in Optically Injected Semiconductor Lasers
Nuria Martinez Alvarez, Saurabh Borkar, Cristina Masoller
The predictability of extreme intensity pulses emitted by an optically injected semiconductor laser is studied numerically, by using a well-known rate equation model. We show that…
Numerical and experimental study of the effects of noise on the permutation entropy
C. Quintero-Quiroz, Simone Pigolotti, M. C. Torrent +1
We analyze the effects of noise on the permutation entropy of dynamical systems. We take as numerical examples the logistic map and the Rössler system. Upon varying the noise stren…