Vilma Petrauskiene, J. Ragulskiene, Huaxin Zhu, Jie Wang, Maosen Cao
{"title":"The discriminant statistic based on MPE-MWPE relationship and non-uniform embedding","authors":"Vilma Petrauskiene, J. Ragulskiene, Huaxin Zhu, Jie Wang, Maosen Cao","doi":"10.21595/jme.2022.22897","DOIUrl":null,"url":null,"abstract":"The slope fitting line between MPE (multi-scale permutation entropy) and MWPE (multi-scale weighted permutation entropy) is recently proposed as a discriminant statistic for testing the nonlinearity of a time series. The main objective of this paper is to demonstrate that the selection of the optimal parameters of the non-uniform embedding is essential for the proposed discriminant statistic. In particular, the presented case studies indicate that the modified discriminant statistic based on non-uniform embedding can detect differences between such time series which remain indistinguishable if the original approach is used.","PeriodicalId":42196,"journal":{"name":"Journal of Measurements in Engineering","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Measurements in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21595/jme.2022.22897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 1
Abstract
The slope fitting line between MPE (multi-scale permutation entropy) and MWPE (multi-scale weighted permutation entropy) is recently proposed as a discriminant statistic for testing the nonlinearity of a time series. The main objective of this paper is to demonstrate that the selection of the optimal parameters of the non-uniform embedding is essential for the proposed discriminant statistic. In particular, the presented case studies indicate that the modified discriminant statistic based on non-uniform embedding can detect differences between such time series which remain indistinguishable if the original approach is used.