Equiprobable symbolization pattern entropy for time series complexity measurement

HIGHLIGHTS

  • who: Fuyi Wang from the School of Information Technology, Deakin University, Melbourne, VIC, Australia have published the Article: Equiprobable symbolization pattern entropy for time series complexity measurement, in the Journal: (JOURNAL)
  • what: Interestingly, the authors propose a complexity measurement method based on time series symbolization combined with the sliding window technique, which is called equiprobable symbolization pattern entropy (EPSPE). The aim of this experiment is to test the ability of innovative complexity estimation methods to quantify and analyze natural time series signals.
  • how: C m (r ) Considering the intrinsic patterns of signals this . . .

     

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