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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40653

Title: Modified Multiscale Entropy forShort-Term Time Series Analysis
Authors: Shuen-De Wu
Chiu-Wen Wu
Kung-Yen Lee
Shiou-Gwo Lin
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: Sample entropy
Multiscale entropy (MSE)
Short-term time series
Date: 2013
Issue Date: 2017-02-06T03:02:02Z
Publisher: Physica A: Statistical Mechanics and its Applications
Abstract: Abstract: Multiscale entropy (MSE) is a prevalent algorithm used to measure the complexity of a time series. Because the coarse-graining procedure reduces the length of a time series, the conventional MSE algorithm applied to a short-term time series may yield an imprecise estimation of entropy or induce undefined entropy. To overcome this obstacle, the modified multiscale entropy (MMSE) was developed. The coarse-graining procedure was replaced with a moving-average procedure and a time delay was incorporated for constructing template vectors in calculating sample entropy. For conducting short-term time series analysis, this study shows that the MMSE algorithm is more reliable than the conventional MSE.
Relation: 392(23)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40653
Appears in Collections:[通訊與導航工程學系] 期刊論文

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