The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing (Signals and Communication Technology) - Hardcover

Mourad, Talbi

Hardcover

ISBN 10: 3030934047 ISBN 13: 9783030934040

Verlag: Springer, 2022

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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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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

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 3030934047
• ISBN 13: 9783030934040
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 98
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland