The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing / Signals and Communication Technology (PDF)
(Sprache: Englisch)
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...
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Produktinformationen zu „The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing / Signals and Communication Technology (PDF)“
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
Autoren-Porträt von Talbi Mourad
Mourad Talbi is an Assistant Professor in Electrical Engineering in the Center of Researches and Technologies of Energy of Borj Cedria, Tunis, Tunisia. He has obtained his Master degree in automatics and signal processing in National Engineering School of Tunis in 2004. He has obtained his PhD Thesis in Electronics in Faculty of Sciences of Tunis, and his HDR in Electronics in Faculty of sciences of Tunis.
Bibliographische Angaben
- Autor: Talbi Mourad
- 2022, 1st ed. 2022, 84 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030934055
- ISBN-13: 9783030934057
- Erscheinungsdatum: 14.02.2022
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- Dateiformat: PDF
- Größe: 4.26 MB
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Sprache:
Englisch
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