Adaptive selection of optimal decomposition level in filtering algorithm based on wavelet transform
Yanming Li · Journal of Optoelectronics·laser · 2010
The filtering algorithm based on wavelet transform is an important method in signal processing field.For the additive white Gaussian noise,a novel method to determine the optimal decomposition level in wavelet transform based on Kolmogorov-Smirnov test is proposed considering the characteristic of contaminated signal′s wavelet transform.This method can improve the performance of the traditional method for the signal with different lengths and adaptively determine the optimal decomposition level.Simulation results prove that the method can reach the best capability with SNR and MSE.The results also show its robustness for different edge extension models.