Detailed Information on Publication Record
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
Článek v odborném periodiku
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization unit
Institute of physics in Opava
UT WoS
000870928800003
Keywords in English
Recurrence quantification analysis ;noise
Tags
Tags
International impact, Reviewed
Links
EF18_053/0017871, research and development project.
Změněno: 7/2/2023 14:55, Mgr. Pavlína Jalůvková
Abstract
V originále
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).