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Permutation Entropy Based on Non-Uniform Embedding
oleh: Mei Tao, Kristina Poskuviene, Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis
Format: | Article |
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Diterbitkan: | MDPI AG 2018-08-01 |
Deskripsi
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.