Weighted multivariate composite multiscale sample entropy analysis for the complexity of nonlinear times series-Reference-Cited by-同舟云学术

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Weighted multivariate composite multiscale sample entropy analysis for the complexity of nonlinear times series

Published:2018-10 Issue: Volume:508 Page:595-607
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Zhang Ningning,Lin Aijing,Ma Hui,Shang Pengjian,Yang Pengbo

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference48 articles.

1. Non-smooth transitions in a simple city traffic model analyzed through supertracks;Toledo;Commun. Nonlinear Sci. Numer. Simul.,2013

2. Kink–antikink density wave of an extended car-following model in a cooperative driving system;Yu;Commun. Nonlinear Sci. Numer. Simul.,2008

3. Detecting dynamical states from noisy time series using bicoherence;George;Nonlinear Dynam.,2017

4. Data-core-based fuzzy min–max neural network for pattern classification;Zhang;IEEE Trans. Neural Netw.,2011

5. Assessment of predictive control performance using fractal measures;Domański;Nonlinear Dynam.,2017

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