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Tsallis Entropy Based q-Gaussian Density Model and Its Application in Measurement Accuracy Improvement

Xuan Xie Xi-Feng Li Qi-Zhong Zhou Yong-Le Xie

电子科技学刊2017,Vol.15Issue(1):77-82,6.
电子科技学刊2017,Vol.15Issue(1):77-82,6.DOI:10.11989/JEST.1674-862X.5060821

Tsallis Entropy Based q-Gaussian Density Model and Its Application in Measurement Accuracy Improvement

Tsallis Entropy Based q-Gaussian Density Model and Its Application in Measurement Accuracy Improvement

Xuan Xie 1Xi-Feng Li 1Qi-Zhong Zhou 1Yong-Le Xie1

作者信息

  • 1. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 折叠

摘要

关键词

Maximum entropy principle/maximum likelihood estimation/measurement uncertainty/Tsallis entropy

Key words

Maximum entropy principle/maximum likelihood estimation/measurement uncertainty/Tsallis entropy

引用本文复制引用

Xuan Xie,Xi-Feng Li,Qi-Zhong Zhou,Yong-Le Xie..Tsallis Entropy Based q-Gaussian Density Model and Its Application in Measurement Accuracy Improvement[J].电子科技学刊,2017,15(1):77-82,6.

基金项目

This work was supported by the National Natural Science Foundation of China under Grant No. 60871056 and No. 61371049, the specialized Research Fund for the Doctoral Program of High Education of China under Grant No. 20120185110013, the Fundamental Research Funds for the Central Universities under Grant No. 267ZYGX2015KYQD021, Sichuan Province Applied Basis Research Project under Grant No. 2013JY0058, and the Key Lab Fund Project of Key Laboratory of Fluid and Power Machinery of Ministry of Education under Grant No. SZJJ2012-042. ()

电子科技学刊

OACSCD

1674-862X

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