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ECG Denoising Based on Total Variation Denoising and Wavelets by Talbi Mourad at Abbey's Bookshop,
ECG Denoising Based on Total Variation Denoising and Wavelets
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Talbi Mourad

ECG Denoising Based on Total Variation Denoising and Wavelets

Talbi Mourad

$176.95   $141.52

Paperback

Not in-store but you can order this
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English
Springer International Publishing AG
05 February 2024
Biomedical engineering; Electronics engineering; Imaging systems & technology; Signal processing; Image processing
Series: Synthesis Lectures on Biomedical Engineering
This book details a number of electrocardiogram (ECG) denoising techniques based on total variation denoising and different wavelet transforms. The transforms covered include Lifting Wavelet Transform (LWT) and the Stationary Bionic Wavelet Transform (SBWT). The book includes three chapters that are wavelets and wavelet transforms, a denoising technique based on SBWT and WATV, and an ECG denoising technique based on LWT and TVM. The book is relevant to researchers, students, and academics in signal processing and biomedical engineering.
By:  
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2023 ed.
Dimensions:   Height: 240mm,  Width: 168mm, 
Weight:   138g
ISBN:   9783031252693
ISBN 10:   3031252691
Series:   Synthesis Lectures on Biomedical Engineering
Pages:   55
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Chapter 1 Wavelets and Wavelet Transforms.- Chapter 2 A denoising technique based on SBWT and WATV: Application for ECG denoising.- Chapter 3 An ECG Denoising Technique Based on LWT and TVM.

Mourad Talbi is an Associate 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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