Recurrence plots display binary texture of time series from dynamical systems with single dots and line structures. Using fuzzy recurrence plots, recurrences of the phase-space states can be visualized as grayscale texture, which is more informative for pattern analysis. The proposed method replaces the crucial similarity threshold required by symmetrical recurrence plots with the number of cluster centers, where the estimate of the latter parameter is less critical than the estimate of the former
We propose a new method for the analysis of images showing patterns emerging from the evolution of s...
This paper addresses the problem of identifying the parameters involved in the formation of spatial ...
International audienceWe propose an algorithm for the detection of recurrence domains of complex dyn...
Recurrence plots display binary texture of time series from dynamical systems with single dots and l...
Recurrence networks, which are derived from recurrence plots of nonlinear time series, enable the ex...
A graphical method based on recurrence plots is used in the reconstruction of the phase space from a...
Recurrence is inherent in complex time series. Entropy of recurrence is utilized as a basis of nonli...
International audience—Recurrence plots are nonlinear tools used to visual-ize the behavior of traje...
Recovering information about the periodic behavior of a non-stationary signal typically requires a l...
Time series are present in many pattern recognition applications related to medicine, biology, astro...
Recurrence plots provide a graphical representation of the recurrent patterns in a timeseries, the q...
A recurrence plot is a visualization tool for analyzing experimental data. These plots often reveal ...
This book presents an original combination of three well-known methodological approaches for nonline...
The ability to identify characteristics of dynamical systems is important because it allows the unde...
<p>a) The Lorenz attractor: an example trajectory of the Lorenz system represented in 3-dimensional ...
We propose a new method for the analysis of images showing patterns emerging from the evolution of s...
This paper addresses the problem of identifying the parameters involved in the formation of spatial ...
International audienceWe propose an algorithm for the detection of recurrence domains of complex dyn...
Recurrence plots display binary texture of time series from dynamical systems with single dots and l...
Recurrence networks, which are derived from recurrence plots of nonlinear time series, enable the ex...
A graphical method based on recurrence plots is used in the reconstruction of the phase space from a...
Recurrence is inherent in complex time series. Entropy of recurrence is utilized as a basis of nonli...
International audience—Recurrence plots are nonlinear tools used to visual-ize the behavior of traje...
Recovering information about the periodic behavior of a non-stationary signal typically requires a l...
Time series are present in many pattern recognition applications related to medicine, biology, astro...
Recurrence plots provide a graphical representation of the recurrent patterns in a timeseries, the q...
A recurrence plot is a visualization tool for analyzing experimental data. These plots often reveal ...
This book presents an original combination of three well-known methodological approaches for nonline...
The ability to identify characteristics of dynamical systems is important because it allows the unde...
<p>a) The Lorenz attractor: an example trajectory of the Lorenz system represented in 3-dimensional ...
We propose a new method for the analysis of images showing patterns emerging from the evolution of s...
This paper addresses the problem of identifying the parameters involved in the formation of spatial ...
International audienceWe propose an algorithm for the detection of recurrence domains of complex dyn...