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Volume 19 (2022)
Volume 19, (In Progress)
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Advances in Computer Science and Engineering
Advances in Computer Science and Engineering
Volume 2, Issue 2, Pages 189 - 199 (July 2008)
A NEW THRESHOLDING METHOD FOR DENOISING OF BIOLOGICAL SIGNALS USING WAVELETS
V. V. K. D. V. Prasad (India), P. Siddaiah (India) and B. Prabhakara Rao (India)
Abstract:
Methods based on thresholding of wavelet coefficients are very popular for denoising of biological signals. In this paper, denoising method based on a New Thresholding filter is proposed for biological signals. We applied this method to denoise EEG signal contaminated with additive Gaussian noise. The results are compared with that of methods based on popular Hard and Soft thresholding filters. It is found that New thresholding filter performs superior to Hard and Soft filters in denoising signals. It embodies the features of both Hard and Soft filters. Different qualities of denoising are obtained by varying the parameters of this filter.
Keywords and phrases:
EEG, wavelet transform, wavelet thresholding, thresholding filter, denoising.
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P-ISSN: 0973-6999
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