Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series

Visibility graph has established itself as a powerful tool for analyzing time series. We in this paper develop a novel multiscale limited penetrable horizontal visibility graph (MLPHVG). We use nonlinear time series from two typical complex systems, i.e., EEG signals and two-phase flow signals, to d...

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Detalles Bibliográficos
Autores principales: Gao, Zhong-Ke, Cai, Qing, Yang, Yu-Xuan, Dang, Wei-Dong, Zhang, Shan-Shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069474/
https://www.ncbi.nlm.nih.gov/pubmed/27759088
http://dx.doi.org/10.1038/srep35622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069474/
https://www.ncbi.nlm.nih.gov/pubmed/27759088
http://dx.doi.org/10.1038/srep35622

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