Permutation Entropy Based on Non-Uniform Embedding
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 e...
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Online Access: | http://www.mdpi.com/1099-4300/20/8/612 |
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doaj-d366b08c95f64a3fa3893d2d66b6464e2020-11-25T01:30:07ZengMDPI AGEntropy1099-43002018-08-0120861210.3390/e20080612e20080612Permutation Entropy Based on Non-Uniform EmbeddingMei Tao0Kristina Poskuviene1Nizar Faisal Alkayem2Maosen Cao3Minvydas Ragulskis4Department of Engineering Mechanics, Hohai University, Nanjing 210098, ChinaCenter for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, LT-51368 Kaunas, LithuaniaDepartment of Engineering Mechanics, Hohai University, Nanjing 210098, ChinaDepartment of Engineering Mechanics, Hohai University, Nanjing 210098, ChinaDepartment of Engineering Mechanics, Hohai University, Nanjing 210098, ChinaA 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.http://www.mdpi.com/1099-4300/20/8/612permutation entropyordinal patternattractor embeddingmulti-dimensional phase space |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mei Tao Kristina Poskuviene Nizar Faisal Alkayem Maosen Cao Minvydas Ragulskis |
spellingShingle |
Mei Tao Kristina Poskuviene Nizar Faisal Alkayem Maosen Cao Minvydas Ragulskis Permutation Entropy Based on Non-Uniform Embedding Entropy permutation entropy ordinal pattern attractor embedding multi-dimensional phase space |
author_facet |
Mei Tao Kristina Poskuviene Nizar Faisal Alkayem Maosen Cao Minvydas Ragulskis |
author_sort |
Mei Tao |
title |
Permutation Entropy Based on Non-Uniform Embedding |
title_short |
Permutation Entropy Based on Non-Uniform Embedding |
title_full |
Permutation Entropy Based on Non-Uniform Embedding |
title_fullStr |
Permutation Entropy Based on Non-Uniform Embedding |
title_full_unstemmed |
Permutation Entropy Based on Non-Uniform Embedding |
title_sort |
permutation entropy based on non-uniform embedding |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2018-08-01 |
description |
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. |
topic |
permutation entropy ordinal pattern attractor embedding multi-dimensional phase space |
url |
http://www.mdpi.com/1099-4300/20/8/612 |
work_keys_str_mv |
AT meitao permutationentropybasedonnonuniformembedding AT kristinaposkuviene permutationentropybasedonnonuniformembedding AT nizarfaisalalkayem permutationentropybasedonnonuniformembedding AT maosencao permutationentropybasedonnonuniformembedding AT minvydasragulskis permutationentropybasedonnonuniformembedding |
_version_ |
1725093524933705728 |