Research of weak life signals’extraction based on wavelet transform

Weak life signals’ extraction by the wavelet transform is researched in this paper.Mallat algorithm is briefly introduced,denoising problem of how to remove the noise of weak life signal against the background of strong noise by use of wavelet thresholding denoising method is researched,and the threshold estimation method is briefly introduced.Through a practical example,the use of MATLAB simulation validates that the wavelet transform can obtain good results in extracting the weak life signal.