Potsdam Institute for Climate Impact Research (PIK)
Interdisciplinary Center for Dynamics of Complex Systems (University of Potsdam)
Cardiovascular Physics Group (Humboldt-Universität zu Berlin)
TOCSY - Toolboxes for Complex Systems
PIK/ Antique/ Blue
Home Home
ACE - Nonlinear Regression Analysis ACE
Adaptive Filtering Procedure Adaptive Filtering
CoinCalc - Event Coincidence Analysis CoinCalc
COPRA - Constructing Proxy Records From Age Models COPRA
Cross Recurrence Plot Toolbox CRP Toolbox
Commandline Recurrence Plots Commandline RPs
Analyse Coupling of Transient Dynamics Coupling Analysis
Identification of Coupling Direction Coupling Direction
Inner Composition Alignment IOTA
Dynamical Invariants by Recurrence Plots K2
Toolbox for the analysis of non-equidistantly sampled time series NEST
DSProlog DSProlog
Permutation Entropy PETROPY
pyunicorn ‐ UNIfied COmplex Network and Recurrence aNalysis toolbox pyunicorn
Symbolic Dynamics from Recurrence Plots RECGRAM
Recurrence Structure Analysis RSA
Wavelet and Coherence Analysis SOWAS
System Identification Tool System Identification
Time Series Graph and Momentary Information Transfer Estimation TiGraMITe

Cross Recurrence Plot Toolbox

Version 5.22 (R32.4), last mod. 12-Mar-2020 08:50:11

This toolbox contains MATLAB® routines for computing recurrence plots, cross recurrence plots and their quantifications. The most programmes contain a user-friendly graphical user interface, a pure command-line application of the programmes is also possible.

Further useful tools for data preparation and nonlinear data analysis are included, like tools for normalization of data, aligning the length of two time series, computation of multi-dimensional histograms, multi-dimensional mutual information, entropies, 2D and 3D phase space representation, estimation of AR coefficients etc.

Proceed to the toolbox website:
http://tocsy.pik-potsdam.de/CRPtoolbox

We also provide a powerful commandline based version, which enables to cope with long data series and batch processes:
http://tocsy.pik-potsdam.de/commandline-rp.php.

A comfortable GUI for this commandline tool is available here:
http://people.physik.hu-berlin.de/~schinkel/rqagui.html.

A prototype for estimation of confidence intervals of RQA measures can be found at:
http://people.physik.hu-berlin.de/~schinkel/rqaci.html.

Try out recurrence plots online!
(WebVersion, last mod. 2019-11-13, 12:23:42)
 
You are interested in more information about recurrence plots?
www.recurrence-plot.tk may help you!



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University of Potsdam, Interdisciplinary Center for Dynamics of Complex Systems, Germany
Potsdam Institute for Climate Impact Research, Transdisciplinary Concepts and Methods, Germany
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Germany License.
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