Distinguish between stochastic and chaotic signals by a local structure-based entropy

HIGHLIGHTS

  • who: Zelin Zhang and colleagues from the School of Mathematics, Physics and Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, China have published the research: Distinguish between Stochastic and Chaotic Signals by a Local Structure-Based Entropy, in the Journal: Entropy 2022, 24, 1752. of /2022/
  • what: The authors propose a local structure (LSE) based on the idea of a recurrence network. Inspired by the above means, the authors propose a local structure-based entropy (LSE) for analyzing a multivariate time series. Since the authors aim to illustrate the effectiveness of LSE, here, the authors . . .

     

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