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

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.

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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.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4637/6629 Print ISBN: 978-1-4577-0975-3 Digital Object Identifier: 10.1109/CICSyN.2011.58
Uncontrolled Keywords: Electromyography, VHDL, DWT, Daubechies, Fixed-point
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Muhammad Ibrahimy
Date Deposited: 08 Dec 2011 12:48
Last Modified: 25 Nov 2014 06:34
URI: http://irep.iium.edu.my/id/eprint/6629

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