Wavelet denoising algorithm based on improved thresholding method

In order to overcome flaws of the traditional wavelet threshold denoising algorithm,the method of wavelet coefficients magnified was used,and threshold function was improved.Because singular points were existed in the signal,the Pesudo-Gibbs phenomenon was produced in the singular points.Pesudo-Gibbs phenomenon was effectively inhibited and the effectiveness of the denoising was strengthened by using translation invariant denoising based on improved wavelet threshold method.Simulation experiment results show that the signal to noise ratio can be significantly improved by using the denoising based on translation invariant method,and effectiveness of the denoising is better than the traditional soft and hard threshold denoising method.It is applicable in engineering.