Application and Optimization of Wavelet Threshold Denoising Algorithm in Signal Processing

Abstract

Wavelet threshold method filters the signal by eliminating the singular value of data in advance.Based on the conventional hard threshold and soft threshold method, a new threshold function is proposed.The function has better mathematical characteristics and clear physical significance.It can accurately eliminate the noise in the signal and effectively extract the main part and details of the signal.Through the simulation experiment, It is proved that the function can better solve the problems of data singular value and system random error in signal processing, improve the accuracy and efficiency of data processing, is a more effective signal denoising method, and has broad engineering application value in the field of signal processing.