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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Detalles Bibliográficos
Autores principales: Tao, Mei, Poskuviene, Kristina, Alkayem, Nizar Faisal, Cao, Maosen, Ragulskis, Minvydas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513137/
https://www.ncbi.nlm.nih.gov/pubmed/33265701
http://dx.doi.org/10.3390/e20080612
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author Tao, Mei
Poskuviene, Kristina
Alkayem, Nizar Faisal
Cao, Maosen
Ragulskis, Minvydas
author_facet Tao, Mei
Poskuviene, Kristina
Alkayem, Nizar Faisal
Cao, Maosen
Ragulskis, Minvydas
author_sort Tao, Mei
collection PubMed
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.
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spelling pubmed-75131372020-11-09 Permutation Entropy Based on Non-Uniform Embedding Tao, Mei Poskuviene, Kristina Alkayem, Nizar Faisal Cao, Maosen Ragulskis, Minvydas Entropy (Basel) Article 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. MDPI 2018-08-17 /pmc/articles/PMC7513137/ /pubmed/33265701 http://dx.doi.org/10.3390/e20080612 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tao, Mei
Poskuviene, Kristina
Alkayem, Nizar Faisal
Cao, Maosen
Ragulskis, Minvydas
Permutation Entropy Based on Non-Uniform Embedding
title 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_short Permutation Entropy Based on Non-Uniform Embedding
title_sort permutation entropy based on non-uniform embedding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513137/
https://www.ncbi.nlm.nih.gov/pubmed/33265701
http://dx.doi.org/10.3390/e20080612
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AT poskuvienekristina permutationentropybasedonnonuniformembedding
AT alkayemnizarfaisal permutationentropybasedonnonuniformembedding
AT caomaosen permutationentropybasedonnonuniformembedding
AT ragulskisminvydas permutationentropybasedonnonuniformembedding

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