Open AccessComparative analysis of dynamic state recognition between permutation entropy and weighted permutation entropy
Author(s) -
Luo Wenxiang,
Li Wan,
Hui Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2113/1/012067
Subject(s) - chaotic , logistic map , permutation (music) , approximate entropy , entropy (arrow of time) , nonlinear system , mathematics , algorithm , computer science , pattern recognition (psychology) , artificial intelligence , physics , thermodynamics , quantum mechanics , acoustics
Permutation entropy (PE) and weighted permutation entropy (WPE) are indexes of the complex system. In this paper, the nonlinear sequence of two chaotic states is simulated by Logistic mapping, and the effectiveness of the PE and WPE algorithms in chaotic state recognition is compared and analyzed with different sliding step sizes. The results show that the value of WPE changes more obviously than PE in different chaotic states, and the recognition effect of WPE is better than PE in dynamic states, which can provide theoretical support for further analyzing the complexity characteristics of actual data.