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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40634

Title: Analysis of complex timeseries using refined composite multiscale entropy
Authors: Shuen-De Wu
Chiu-Wen Wu
Shiou-Gwo Lin
Kung-Yen Lee
Chung-Kang Peng
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: Multiscale entropy
Composite
Date: 2014
Issue Date: 2017-02-06T02:20:57Z
Publisher: Physics Letters A
Abstract: Abstract: Multiscale entropy (MSE) is an effective algorithm for measuring the complexity of a time series that has been applied in many fields successfully. However, MSE may yield an inaccurate estimation of entropy or induce undefined entropy because the coarse-graining procedure reduces the length of a time series considerably at large scales. Composite multiscale entropy (CMSE) was recently proposed to improve the accuracy of MSE, but it does not resolve undefined entropy. Here we propose a refined composite multiscale entropy (RCMSE) to improve CMSE. For short time series analyses, we demonstrate that RCMSE increases the accuracy of entropy estimation and reduces the probability of inducing undefined entropy.
Relation: 378(20)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40634
Appears in Collections:[通訊與導航工程學系] 期刊論文

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