Investigation of suppressing PD white noise by compound information of complex wavelet transform

2009 ◽  
Vol 19 (2) ◽  
pp. 313-322 ◽  
Author(s):  
Ju Tang ◽  
Zhongrong Xu ◽  
Caixin Sun
Keyword(s):  
Wavelet Transform ◽  
White Noise ◽  
Complex Wavelet Transform ◽  
Complex Wavelet

Study on White Noise Suppression Using Complex Wavelet Threshold Algorithm

2014 ◽  
Vol 521 ◽  
pp. 347-351 ◽  
Author(s):  
Shu Qi Zhang ◽  
Jin Zhong Li ◽  
Rui Guo ◽  
Hao Tang ◽  
Tao Zhao ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
White Noise ◽  
Noise Suppression ◽  
Threshold Selection ◽  
Complex Wavelet Transform ◽  
Threshold Method ◽  
Modulus Maximum ◽  
Complex Wavelet ◽  
Wavelet Transform Modulus Maximum ◽  
Selection Of

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.

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