Study of an improved wavelet threshold method in signal suppression
Yanhong Wang · Relay · 2007
It is an effective method to reduce the noises by wavelet much dimension decomposition in non stationary signals. Based on much resolution analysis wavelet threshold de-noising method which put forward by D.L. Donoho and I. M. Johnstone, this paper puts forward an improved de-noising method. This improved threshold function has many advantages over soft threshold function, it overcome the shortcoming of the hard threshold with discontinuous function and solves the problem of the permanent bias in soft threshold function. At the same time, the improved threshold function is more elastic than the soft threshold and hard threshold function. Simulation results indicate that the de-noising method adopting the improved threshold function suppresses the Pseudo-Gibbs phenomena near the singularities of the signal effectively,and the numerical results also show the new method gives better MSE performance and SNR gains than hard threshold and soft threshold methods.