Permutation Entropy Based on Non-Uniform Embedding

被引：10

作者：

Tao, Mei ^{[1
,3
]}

Poskuviene, Kristina ^{[2
,4
]}

Alkayem, Nizar Faisal ^{[1
,3
]}

Cao, Maosen ^{[1
,3
]}

Ragulskis, Minvydas ^{[1
,2
,3
,4
]}

机构：

[1] Hohai Univ, Dept Engn Mech, Nanjing 210098, Peoples R China

[2] Kaunas Univ Technol, Ctr Nonlinear Syst, Studentu 50 146, LT-51368 Kaunas, Lithuania

[3] Hohai Univ, Dept Engn Mech, Nanjing 210098, Jiangsu, Peoples R China

[4] Kaunas Univ Technol, Ctr Nonlinear Syst, Studentu 50-146, LT-51368 Kaunas, Lithuania

来源：

ENTROPY | 2018年 / 20卷 / 08期

关键词：

permutation entropy; ordinal pattern; attractor embedding; multi-dimensional phase space; NONLINEAR TIME-SERIES; SPACE RECONSTRUCTION; APPROXIMATE ENTROPY; STRANGE ATTRACTORS; DELAY-TIME; COMPLEXITY; PARAMETERS; DIMENSION; ALGORITHMS; SELECTION;

D O I：

10.3390/e20080612

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A novel visualization scheme for permutation entropy is presented in this paper. The proposed scheme is based on non-uniform attractor embedding of the investigated time series. A single digital image of permutation entropy is produced by averaging all possible plain projections of the permutation entropy measure in the multi-dimensional delay coordinate space. Computational experiments with artificially-generated and real-world time series are used to demonstrate the advantages of the proposed visualization scheme.

引用

页数：13

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