An improved wavelet threshold denoising method and its application

In order to improve the denoising accuracy of X radial diffraction signal, based on the introduction of stationary wavelet theory and analysis of existing problems of traditional threshold functions, a novel wavelet threshold denoising method is proposed. In the Matlab experimental platform we prove that this new threshold method can compensate for the deficiency the traditional soft/hard threshold methods, and also have the very good mathematical character. The new threshold method based on the stationary wavelet transform is applied to noise reduction of X radial diffraction signal. The experiment result indicates that the new method can better reserve the characteristic of X radial and eliminate noise effectively.