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IEEE/ICACT20250181 Slide.08        [Big Slide]	Oral Presentation
	The soft thresholding algorithm is continuous at the threshold , providing better smoothing of the wavelet coefficients in the reconstructed signal, which leads to improved denoising performance. However, For coefficients greater than the threshold, the same operation is applied to all, introducing errors in the wavelet coefficients. Consequently, the reconstructed signal also contains errors, causing the loss of abrupt changes in the original signal. This results in a lower signal-to-noise ratio (SNR) and a higher mean square error (MSE) in the reconstructed signal.

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