Phase permutation entropy : a complexity measure for nonlinear time series incorporating phase information

DOI10.1016/j.physa.2020.125686OpenAlexW3119766002MaRDI QIDQ2066240

Huan Kang, Guangbin Zhang, Xiaofeng Zhang

Publication date: 13 January 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2020.125686

zbMATH Keywords

nonlinear time seriesinstantaneous phasedynamic change detectionphase permutation entropy

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items

Fractional multiscale phase permutation entropy for quantifying the complexity of nonlinear time series, Symbolic transition network for characterizing the dynamics behaviors of gas-liquid two-phase flow patterns

Uses Software

• PhysioToolkit

Cites Work

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