@article{1444458,
      author = {Mourad, Talbi,},
      url = {http://library.usi.edu/record/1444458},
      title = {The stationary bionic wavelet transform and its  applications for ECG and speech processing /},
      abstract = {This book first details a proposed Stationary Bionic  Wavelet Transform (SBWT) for use in speech processing. The  author then details the proposed techniques based on SBWT.  These techniques are relevant to speech enhancement, speech  recognition, and ECG de-noising. The techniques are then  evaluated by comparing them to a number of methods existing  in literature. For evaluating the proposed techniques,  results are applied to different speech and ECG signals and  their performances are justified from the results obtained  from using objective criterion such as SNR, SSNR, PSNR,  PESQ , MAE, MSE and more. Describes and applies a proposed  Stationary Bionic Wavelet Transform (SBWT) Discusses how  speech enhancement, speech recognition, and ECG de-noising  are aided by SBWTs Relevant to researchers, professionals,  students, and academics in speech and ECG processing.},
      doi = {https://doi.org/10.1007/978-3-030-93405-7},
      recid = {1444458},
      pages = {1 online resource (xiv, 84 pages) :},
}