Adaptive selection and simulation of optimal decomposition level in threshold de-noising algorithm based on wavelet transform

Threshold de-noising based on wavelet transform is an efficient method to reduce noise from test signal. Through analyzing the propagation characteristic of signal and noise in wavelet domain, a new method to determine the optimal decomposition level based on wavelet de-correlation white noise verification is proposed. The algorithm can determine the optimal decomposition level adaptively according to the feature and SNR of the signal. Simulation results under MATLAB environment and engineering application prove that the method can determine the decomposition level effectively and reach best SNR.