DOI: 10.1140/epjst/e2008-00831-7
Recurrence analysis of quasiperiodicity in experimental fluid data
Y. Zou1, 2, M. Thiel3, M.C. Romano3, P.L. Read4 and J. Kurths1, 2, 51 Potsdam Institute for Climate Impact Research, PO Box 601203, 14412 Potsdam, Germany
2 Nonlinear Dynamics Group, University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
3 Department of Physics, University of Aberdeen, Aberdeen AB 24 3UE, UK
4 Atmospheric, Oceanic and Planetary Physics, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
5 Institut für Physik, Humboldt Universität zu Berlin, Newtonstr. 15, 12489 Berlin, Germany
yong.zou@pik-potsdam.de
Abstract
We propose a procedure to analyze experimental data which exhibit different dynamical
regimes, namely, periodicity, chaoticity and quasiperiodicity by means of Recurrence Plots
(RPs). We show that, based on the recurrence properties captured by RPs, we are able to
characterize successfully the type of dynamics. This approach is particularly useful for
detecting the existence of quasiperiodic motion in short time series. We show the capability
and validity of this method by analyzing time series from fluid experiments.
© EDP Sciences, Springer-Verlag 2008
