Study of signal denoising methods based on wavelet transform

Wavelet threshold denoising methods are studied in this paper, then the basic principles and methods of wavelet transform and wavelet denoising are expounded,four types of adaptive threshold rules are used to denoise the noisy signal,and the denoising effects are compared respectively.Taking the collected speech signal as an example.This paper not only denoised the signal with different methods of threshold denoising,but also simulated in the MATLAB,the results show that wavelet transform can effectively remove the signal noise,and retain the original abrupt signal information well.