Nonlinear statistical analysis of normal and pathological infant cry signals in cepstrum domain by multifractal wavelet leaders

HIGHLIGHTS

• who: Salim Lahmiri et al. from the Department of Supply Chain and Business Technology Management, John Molson School of Business, Concordia University, Montreal, QC H G , Canada have published the research: Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders, in the Journal: Entropy 2022, 24, x FOR PEER REVIEW of /2022/
• what: The aim of this work is to measure multifractal properties in healthy and pathological infant cry signals to obtain multiscale distinctive biomarkers. The authors report multifractal analysis from the cepstrum of infant cry, where . . .
  

   

  

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