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Thresholding For Higher-Order Statistical Denoising, Samuel Peter Kozaitis, Tim Young
Thresholding For Higher-Order Statistical Denoising, Samuel Peter Kozaitis, Tim Young
Electrical Engineering and Computer Science Faculty Publications
Hard thresholding seems to work well for denoising signals using higher-order statistics. We statistically examined the best values for hard thresholding and related this to the fraction of wavelet coefficients set to zero to obtain the minimum MSE. In addition, we found that the minimum MSE obtained was less sensitive to the threshold when implemented based on a third-order parameter rather than the noise power. Alternatively, we found that this approach to thresholding could be implemented by setting a fixed fraction of wavelet coefficients to zero.