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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6629/ http://irep.iium.edu.my/6629/1/VHDL_Modelling_2011.pdf |
| _version_ | 1848776702050697216 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:34:17Z |
| format | Proceeding Paper |
| id | iium-6629 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:34:17Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| 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 |