Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction

Most of the existing studies on the improvement of entropy are based on the theory of single entropy, ignoring the relationship between one entropy and another. Inspired by the synergistic relationship between bubble entropy (BE) and permutation entropy (PE), which has been pointed out by previous a...

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Main Authors: Xinru Jiang, Yingmin Yi, Junxian Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1163767/full
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author Xinru Jiang
Yingmin Yi
Yingmin Yi
Junxian Wu
author_facet Xinru Jiang
Yingmin Yi
Yingmin Yi
Junxian Wu
author_sort Xinru Jiang
collection DOAJ
description Most of the existing studies on the improvement of entropy are based on the theory of single entropy, ignoring the relationship between one entropy and another. Inspired by the synergistic relationship between bubble entropy (BE) and permutation entropy (PE), which has been pointed out by previous authors, this paper aims to explore the relationship between bubble entropy and dispersion entropy. Since dispersion entropy outperforms permutation entropy in many aspects, it provides better stability and enhances the computational efficiency of permutation entropy. We also speculate that there should be potential synergy between dispersion entropy and bubble entropy. Through experiments, we demonstrated the synergistic complementarity between BE and DE and proposed a double feature extraction method based on BE and DE. For the single feature extraction experiment, dispersion entropy and bubble entropy have better recognition performance for sea state signals and bearing signals, respectively; in double feature extraction, the combination of bubble entropy and dispersion entropy makes the recognition rate of sea state signals increase by 10.5% and the recognition rate of bearing signals reach 99.5%.
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spelling doaj.art-8194ae5b1a294af18059a38075e3ad1c2023-03-31T08:34:26ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-03-011110.3389/fphy.2023.11637671163767Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extractionXinru Jiang0Yingmin Yi1Yingmin Yi2Junxian Wu3School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Automation and Information Engineering, Xi’an University of Technology, Xi’an, ChinaShaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, ChinaSchool of Automation and Information Engineering, Xi’an University of Technology, Xi’an, ChinaMost of the existing studies on the improvement of entropy are based on the theory of single entropy, ignoring the relationship between one entropy and another. Inspired by the synergistic relationship between bubble entropy (BE) and permutation entropy (PE), which has been pointed out by previous authors, this paper aims to explore the relationship between bubble entropy and dispersion entropy. Since dispersion entropy outperforms permutation entropy in many aspects, it provides better stability and enhances the computational efficiency of permutation entropy. We also speculate that there should be potential synergy between dispersion entropy and bubble entropy. Through experiments, we demonstrated the synergistic complementarity between BE and DE and proposed a double feature extraction method based on BE and DE. For the single feature extraction experiment, dispersion entropy and bubble entropy have better recognition performance for sea state signals and bearing signals, respectively; in double feature extraction, the combination of bubble entropy and dispersion entropy makes the recognition rate of sea state signals increase by 10.5% and the recognition rate of bearing signals reach 99.5%.https://www.frontiersin.org/articles/10.3389/fphy.2023.1163767/fullbubble entropypermutation entropydispersion entropysynergistic complementarityfeature extractionsea state signals
spellingShingle Xinru Jiang
Yingmin Yi
Yingmin Yi
Junxian Wu
Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
Frontiers in Physics
bubble entropy
permutation entropy
dispersion entropy
synergistic complementarity
feature extraction
sea state signals
title Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
title_full Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
title_fullStr Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
title_full_unstemmed Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
title_short Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
title_sort analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction
topic bubble entropy
permutation entropy
dispersion entropy
synergistic complementarity
feature extraction
sea state signals
url https://www.frontiersin.org/articles/10.3389/fphy.2023.1163767/full
work_keys_str_mv AT xinrujiang analysisofthesynergisticcomplementaritybetweenbubbleentropyanddispersionentropyintheapplicationoffeatureextraction
AT yingminyi analysisofthesynergisticcomplementaritybetweenbubbleentropyanddispersionentropyintheapplicationoffeatureextraction
AT yingminyi analysisofthesynergisticcomplementaritybetweenbubbleentropyanddispersionentropyintheapplicationoffeatureextraction
AT junxianwu analysisofthesynergisticcomplementaritybetweenbubbleentropyanddispersionentropyintheapplicationoffeatureextraction