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



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Springer


Paru le : 2022-02-14



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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.
Pages
84 pages
Collection
n.c
Parution
2022-02-14
Marque
Springer
EAN papier
9783030934040
EAN PDF
9783030934057
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
4465 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
126,59 €
EAN EPUB
9783030934057
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
11520 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
126,59 €
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.

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