Wavelet transform application for/in non-stationary time-series analysis: a review

HIGHLIGHTS

  • who: Manel Rhif and collaborators from the Laboratoire RIADI, Ecole Nationale des Sciences l'Informatique, Manouba, TunisiaSherbrooke, QC J K , Canada have published the article: Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review, in the Journal: (JOURNAL)
  • what: The aim of this paper is to provide researchers and engineers with a deeper comprehensive knowledge of the theory and application of the WT method for non-stationary TS.
  • how: Several approaches are developed to analyze the non-stationary characteristics. The related studies are compared in terms of field data the . . .

     

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