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{ "item_title" : "The Stationary Bionic Wavelet Transform and Its Applications for ECG and Speech Processing", "item_author" : [" Mourad Talbi "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/093/407/3030934071_b.jpg", "price_data" : { "retail_price" : "139.99", "online_price" : "139.99", "our_price" : "139.99", "club_price" : "139.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Stationary Bionic Wavelet Transform and Its Applications for ECG and Speech Processing|Mourad Talbi

The Stationary Bionic Wavelet Transform and Its Applications for ECG and Speech Processing

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Overview

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.

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Details

  • ISBN-13: 9783030934071
  • ISBN-10: 3030934071
  • Publisher: Springer
  • Publish Date: February 2023
  • Dimensions: 9.21 x 6.14 x 0.21 inches
  • Shipping Weight: 0.33 pounds
  • Page Count: 84

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