VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising

Wavelet Transform (WT) has been widely applied in biomedical signal analysis. This paper will present the denoising method of EMG signal using WT and its model processed by VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) model of it. The principle of wavelet deno...

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Main Authors:	Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/1/VHDL_Modelling_2011.pdf

id	iium-6629
recordtype	eprints
spelling	iium-66292014-11-24T22:34:09Z http://irep.iium.edu.my/6629/ VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran T Technology (General) Wavelet Transform (WT) has been widely applied in biomedical signal analysis. This paper will present the denoising method of EMG signal using WT and its model processed by VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) model of it. The principle of wavelet denoising is first to decompose the signal by performing a WT, followed by applying suitable thresholds to the detail coefficients, zeroing all coefficients below their associated thresholds, and finally to reconstruct the denoised signal based on the modified detail coefficients. Discrete Wavelet Transform (DWT) is a method that uses wavelet analyzer in which case the signal split into small pieces preserving both time and frequency properties. The Second order of Daubechies family (db2) has been used to denoise EMG signals. The simulation, synthesis and verification of the design presents a fast and reliable prototyping of DWT for denoising of EMG signals. 2011-08-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6629/1/VHDL_Modelling_2011.pdf Ahsan, Md. Rezwanul and Ibrahimy, Muhammad Ibn and Khalifa, Othman Omran (2011) VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising. In: 3rd International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2011), 26-28 July 2011, Bali, Indonesia. http://dx.doi.org/10.1109/CICSyN.2011.58 doi:10.1109/CICSyN.2011.58
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
description	Wavelet Transform (WT) has been widely applied in biomedical signal analysis. This paper will present the denoising method of EMG signal using WT and its model processed by VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) model of it. The principle of wavelet denoising is first to decompose the signal by performing a WT, followed by applying suitable thresholds to the detail coefficients, zeroing all coefficients below their associated thresholds, and finally to reconstruct the denoised signal based on the modified detail coefficients. Discrete Wavelet Transform (DWT) is a method that uses wavelet analyzer in which case the signal split into small pieces preserving both time and frequency properties. The Second order of Daubechies family (db2) has been used to denoise EMG signals. The simulation, synthesis and verification of the design presents a fast and reliable prototyping of DWT for denoising of EMG signals.
format	Conference or Workshop Item
author	Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran
author_facet	Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran
author_sort	Ahsan, Md. Rezwanul
title	VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
title_short	VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
title_full	VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
title_fullStr	VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
title_full_unstemmed	VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
title_sort	vhdl modelling of fixed-point dwt for the purpose of emg signal denoising
publishDate	2011
url	http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/1/VHDL_Modelling_2011.pdf
first_indexed	2023-09-18T20:15:41Z
last_indexed	2023-09-18T20:15:41Z
_version_	1777407771661041664

VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising

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