Refined scale-dependent permutation entropy to analyze systems complexity

Shuen De Wu, Chiu Wen Wu, Anne Humeau-Heurtier

研究成果: 雜誌貢獻文章同行評審

25 引文 斯高帕斯(Scopus)

摘要

Multiscale entropy (MSE) has become a prevailing method to quantify the complexity of systems. Unfortunately, MSE has a temporal complexity in O(N2), which is unrealistic for long time series. Moreover, MSE relies on the sample entropy computation which is length-dependent and which leads to large variance and possible undefined entropy values for short time series. Here, we propose and introduce a new multiscale complexity measure, the refined scale-dependent permutation entropy (RSDPE). Through the processing of different kinds of synthetic data and real signals, we show that RSDPE has a behavior close to the one of MSE. Furthermore, RSDPE has a temporal complexity in O(N). Finally, RSDPE has the advantage of being much less length-dependent than MSE. From all this, we conclude that RSDPE over-performs MSE in terms of computational cost and computational accuracy.

原文英語
頁(從 - 到)454-461
頁數8
期刊Physica A: Statistical Mechanics and its Applications
450
DOIs
出版狀態已發佈 - 2016 五月 15

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

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