Text feature extraction for public english vocabulary based on wavelet transform

HIGHLIGHTS

  • who: Di Ye from the School of Foreign Studies, Tangshan Normal University, Tangshan, Hebei, China have published the article: Text Feature Extraction for Public English Vocabulary Based on Wavelet Transform, in the Journal: Computational and Mathematical Methods in Medicine 0.94 0.92 0.9 F1-score of 11/06/2022
  • what: This paper proposes an improved inverse discrete wavelet transform method in which the signal is decomposed by Mallat algorithm to obtain wavelet coefficients at each scale and then reconstructed to the required wavelet space coefficients according to the reconstruction method and the reconstructed . . .

     

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