Improved threshold denoising method based on wavelet transform

Abstract

There is much noise in the channel during signal transmission. The signals are easily polluted when they are transmitted in it. So they can't be received correctly. In order to get the correct signals, the polluted signals should be processed to reduce noises and improve the quality when they reach the receiver. After analyzing the theory of wavelet transform and the characteristics of traditional soft threshold and hard threshold wavelet denoising, an improved threshold denoising method based on wavelet transform is adopted to improve the quality of a signal. It is one dimensional and has been polluted by noise. The method overcomes the discontinuous in hard-threshold denoising and reduces the permanent bias in soft-threshold denoising. At last soft threshold denoising, hard threshold denoising and the improved threshold denoising are all adopted to reduce noise in the same polluted signal by software simulation. The results show that the improved threshold denoising method is superior to the traditional soft threshold and hard-threshold wavelet denoising methods in improving SNR and decreasing RMSE.