Power quality signals denoising via double-wavelet Wiener filtering based on Bayes estimation
Yisheng Hu · Power System Protection and Control · 2011
A power quality signals denoising method of double-wavelet Wiener filtering based on Bayes estimation is proposed. Bayesian based wavelet thresholding denoising technique is adopted to estimate the expected signals accurately in the first wavelet domain. Furthermore, in the secondwavelet domain,the noise signal and expected signal are wavelet transformed respectively,the wavelet coefficients of the expected signals are used to design an empirical Wiener filter .And the wavelet coefficients of the noise signals are handled by Wiener filtering and then the wavelet inverse transform is used to obtain the denoised signals.Experiment results indicate that the denoising effect of the proposed method is better than that of other methods based on wavelet shrinkage and other double-wavelet Wiener filtering methods.Furthermore,it will have the most SNR with noise intensity increasing.