Recurrence plot analysis is a well-established method to analyse time series in numerous areas of research. However, it has exponential computational and spatial complexity. As the main result of this paper, a technique for the computation of recurrence quantitative analysis (RQA) is outlined. This method significantly reduces spatial complexity of computation by computing RQA directly from the time series, optimizing memory accesses and reducing computational time. Additionally, parallel implementation of this technique is tested on the Salomon cluster and is proved to be extremely fast and scalable. This means that recurrence quantitative analysis may be applied to longer time series or in applications with the need of real-time analysis....
accepted 2020-08-04International audienceRecurrence quantification analysis (RQA) is an acknowledged...
Recovering information about the periodic behavior of a non-stationary signal typically requires a l...
In recurrence analysis, the τ-recurrence rate encodes the periods of the cycles of the underlying hi...
Die Recurrence Quantification Analysis (RQA) ist eine Methode aus der nicht-linearen Zeitreihenanaly...
Complex systems are characterized by deterministic laws (which often may be hidden) and randomness. ...
This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, hel...
Recurrence plots are graphical devices specially suited to detect hidden dynamical patterns and nonl...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
In the last decade, the applications of the recurrence plot analy-sis method make it a valuable alte...
A recurrence plot is a visualization tool for analyzing experimental data. These plots often reveal ...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
Recurrence Plots (RPs) were developed at the end of the 1980’s as visualization tools forcomplex dyn...
Recurrence quantification analysis is a widely used method for characterizing patterns in time seri...
International audienceIn the last decade, the applications of the recurrence plot analysis method ma...
Algorithms which are recursive have running times which can be described by recurrence equations or ...
accepted 2020-08-04International audienceRecurrence quantification analysis (RQA) is an acknowledged...
Recovering information about the periodic behavior of a non-stationary signal typically requires a l...
In recurrence analysis, the τ-recurrence rate encodes the periods of the cycles of the underlying hi...
Die Recurrence Quantification Analysis (RQA) ist eine Methode aus der nicht-linearen Zeitreihenanaly...
Complex systems are characterized by deterministic laws (which often may be hidden) and randomness. ...
This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, hel...
Recurrence plots are graphical devices specially suited to detect hidden dynamical patterns and nonl...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
In the last decade, the applications of the recurrence plot analy-sis method make it a valuable alte...
A recurrence plot is a visualization tool for analyzing experimental data. These plots often reveal ...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
Recurrence Plots (RPs) were developed at the end of the 1980’s as visualization tools forcomplex dyn...
Recurrence quantification analysis is a widely used method for characterizing patterns in time seri...
International audienceIn the last decade, the applications of the recurrence plot analysis method ma...
Algorithms which are recursive have running times which can be described by recurrence equations or ...
accepted 2020-08-04International audienceRecurrence quantification analysis (RQA) is an acknowledged...
Recovering information about the periodic behavior of a non-stationary signal typically requires a l...
In recurrence analysis, the τ-recurrence rate encodes the periods of the cycles of the underlying hi...