Affiliation:
1. Department of Management Science and Technology, Tohoku University, Sendai 980-8579, Japan
Abstract
Recurrence plots along with their quantification measures have demonstrated their usefulness for the study of dynamical systems in many fields. The distance threshold for recurrence is a crucial parameter influencing the observed recurrence structures, thus, the related quantification measures, and have been the object of several studies to find its optimal value. We suggest here a definition of recurrence based on the local attractor density to obtain more qualitative recurrence plots capturing the dynamics at different scales without suffering from variations in the tangential motion effect. The method is qualitatively and quantitatively compared with common thresholding methods on different signals. It is shown that the suggested recurrence plot has more uniform line structures and is less sensitive to the threshold parameter. We also present a modification enhancing its robustness to noise.
Subject
Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Directed recurrence networks;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-11-01
2. A bottom-up approach for recurrence detection based on sampling distance;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-08-01