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.
| Original language | English |
|---|---|
| Pages (from-to) | 23-33 |
| Number of pages | 11 |
| Journal | The European Physical Journal. Special Topics |
| Volume | 164 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Oct 2008 |
Keywords
- time series
- systems
- synchronization
- plots
- quantification
- annulus
Cite this
Recurrence analysis of quasiperiodicity in experimental fluid data. / Zou, Y.; Thiel, M.; Romano, M. C.; Read, P. L.; Kurths, J.
In: The European Physical Journal. Special Topics, Vol. 164, No. 1, 10.2008, p. 23-33.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Recurrence analysis of quasiperiodicity in experimental fluid data
AU - Zou, Y.
AU - Thiel, M.
AU - Romano, M. C.
AU - Read, P. L.
AU - Kurths, J.
N1 - A paid open access option is available for this journal. Pre-print on arXiv and pre-print servers Pre-print may be replaced with post-print Post-print on authors website or institutional repository 12 month embargo for deposit in Funding Agency recommended Repositories Must link to publisher version Publisher copyright and source must be acknowledged On a non-profit server Publisher's version/PDF cannot be used NIH Authors authors may comply with co-publisher Springers NIH Policy Wellcome Trust authors may comply via co-publisher Springer's Open Choice
PY - 2008/10
Y1 - 2008/10
N2 - 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.
AB - 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.
KW - time series
KW - systems
KW - synchronization
KW - plots
KW - quantification
KW - annulus
U2 - 10.1140/epjst/e2008-00831-7
DO - 10.1140/epjst/e2008-00831-7
M3 - Article
VL - 164
SP - 23
EP - 33
JO - The European Physical Journal. Special Topics
JF - The European Physical Journal. Special Topics
SN - 1951-6355
IS - 1
ER -