Permutation Entropy Based on Non-Uniform Embedding
AbstractA 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. View Full-Text
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Tao, M.; Poskuviene, K.; Alkayem, N.F.; Cao, M.; Ragulskis, M. Permutation Entropy Based on Non-Uniform Embedding. Entropy 2018, 20, 612.
Tao M, Poskuviene K, Alkayem NF, Cao M, Ragulskis M. Permutation Entropy Based on Non-Uniform Embedding. Entropy. 2018; 20(8):612.Chicago/Turabian Style
Tao, Mei; Poskuviene, Kristina; Alkayem, Nizar F.; Cao, Maosen; Ragulskis, Minvydas. 2018. "Permutation Entropy Based on Non-Uniform Embedding." Entropy 20, no. 8: 612.
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