2022
Averaged recurrence quantification analysis Method omitting the recurrence threshold choice
PÁNIS, Radim; Karel ADÁMEK and Norbert MARWANBasic information
Original name
Averaged recurrence quantification analysis Method omitting the recurrence threshold choice
Authors
PÁNIS, Radim; Karel ADÁMEK and Norbert MARWAN
Edition
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2022, 1951-6355
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
Germany
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 2.800
Organization unit
Institute of physics in Opava
UT WoS
000870928800003
EID Scopus
2-s2.0-85140391904
Keywords in English
Recurrence quantification analysis ;noise
Tags
Tags
International impact, Reviewed
Links
EF18_053/0017871, research and development project.
Changed: 7/2/2023 14:55, Mgr. Pavlína Jalůvková
Abstract
In the original language
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In this work, we present a new strategy for an almost parameter-free RQA. The approach finally omits the choice of the threshold parameter by calculating the RQA measures for a range of thresholds (in fact recurrence rates). Specifically, we test the ability of the RQA measure determinism, to sort data with respect to their signal to noise ratios. We consider a periodic signal, simple chaotic logistic equation, and Lorenz system in the tested data set with different and even very small signal-to-noise ratios of lengths 10(2), 10(3), 10(4), and 10(5). To make the calculations possible, a new effective algorithm was developed for streamlining of the numerical operations on graphics processing unit (GPU).