Study on White Noise Suppression Using Complex Wavelet Threshold Algorithm
Shu Qi Zhang, Jin Zhong Li, Rui Guo, Hao Tang, Tao Zhao, Li Gao · Applied Mechanics and Materials · 2014
The complex wavelet transform modulus maximum of the PD signal increases with scale, while the complex wavelet transform modulus maximum of white noise decreases with scale. According to the characteristics, a study on white noise suppression using the effective complex wavelet coefficient (ECWC) threshold method is launched in this paper and a comparison is conducted with the wavelet threshold denoising method of threshold selection of Stein unbiased risk estimate theory and threshold selection of minimax theory. The PD signal denoising results show that ECWC threshold method is more effective and the distortion of the extract PD signal is lower compared with the other method.