The reliability of recurrence network analysis is influenced by the observability properties of the recorded time series-Reference-Cited by-同舟云学术

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The reliability of recurrence network analysis is influenced by the observability properties of the recorded time series

Published:2019-08 Issue:8 Volume:29 Page:083101
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Portes Leonardo L.¹²^ORCID,Montanari Arthur N.²^ORCID,Correa Debora C.¹^ORCID,Small Michael¹³^ORCID,Aguirre Luis A.⁴^ORCID

Affiliation:

1. Complex Systems Group, Department of Mathematics and Statistics, University of Western Australia, Nedlands, Perth, WA 6009, Australia

2. Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31.270-901 Belo Horizonte MG, Brazil

3. Mineral Resources, CSIRO, Kensington, Perth, WA 6151, Australia

4. Departamento de Engenharia Eletrônica, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31.270-901 Belo Horizonte, MG, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5093197

Reference39 articles.

1. On the general theory of control systems

2. Dynamical assessment of physiological systems and states using recurrence plot strategies

3. Recurrence quantification analysis of the logistic equation with transients

4. Complex network approach for recurrence analysis of time series

5. Recurrence Plots of Dynamical Systems

Cited by 4 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. Functional observability and subspace reconstruction in nonlinear systems;Physical Review Research;2022-12-16

2. Early Warning of Atrial Fibrillation;2022-09-09

3. Assessing observability of chaotic systems using Delay Differential Analysis;Chaos: An Interdisciplinary Journal of Nonlinear Science;2020-10

4. Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis;Nonlinear Processes in Geophysics;2020-04-27

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