Composite Multiscale Partial Cross-Sample Entropy Analysis for Quantifying Intrinsic Similarity of Two Time Series Affected by Common External Factors

In this paper, we propose a new cross-sample entropy, namely the composite multiscale partial cross-sample entropy (CMPCSE), for quantifying the intrinsic similarity of two time series affected by common external factors. First, in order to test the validity of CMPCSE, we apply it to three sets of a...

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Detalles Bibliográficos
Autores principales: Li, Baogen, Han, Guosheng, Jiang, Shan, Yu, Zuguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597075/
https://www.ncbi.nlm.nih.gov/pubmed/33286772
http://dx.doi.org/10.3390/e22091003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597075/
https://www.ncbi.nlm.nih.gov/pubmed/33286772
http://dx.doi.org/10.3390/e22091003

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