Other formats:
BibTeX
LaTeX
RIS
@article{65861, author = {Pánis, Radim and Adámek, Karel and Marwan, Norbert}, article_number = {October}, doi = {http://dx.doi.org/10.1140/epjs/s11734-022-00686-4}, keywords = {Recurrence quantification analysis ;noise}, language = {eng}, issn = {1951-6355}, journal = {EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS}, title = {Averaged recurrence quantification analysis Method omitting the recurrence threshold choice}, url = {https://link.springer.com/article/10.1140/epjs/s11734-022-00686-4}, volume = {2022}, year = {2022} }
TY - JOUR ID - 65861 AU - Pánis, Radim - Adámek, Karel - Marwan, Norbert PY - 2022 TI - Averaged recurrence quantification analysis Method omitting the recurrence threshold choice JF - EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS VL - 2022 IS - October SP - 1-10 EP - 1-10 SN - 19516355 KW - Recurrence quantification analysis ;noise UR - https://link.springer.com/article/10.1140/epjs/s11734-022-00686-4 N2 - 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). ER -
PÁNIS, Radim, Karel ADÁMEK and Norbert MARWAN. Averaged recurrence quantification analysis Method omitting the recurrence threshold choice. \textit{EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS}. 2022, vol.~2022, October, p.~1-10. ISSN~1951-6355. Available from: https://dx.doi.org/10.1140/epjs/s11734-022-00686-4.
|