Wavelet de-noising by means of trimmed thresholding

Wavelet thresholding de-noising techniques provide a new way to reduce noise in signals. However, soft thresholding is best in reducing noise but worst in preserving edges, and hard thresholding is best in preserving edges but worst in de-noising. Motivated by finding a more general case that incorporates the soft and hard thresholding to achieve a compromise between the two methods, the trimmed thresholding method is proposed in this paper. Finally, the experiment results and the power spectral analysis show that the trimmed thresholding is superior to hard and soft thresholding methods.