摘要
提出一种基于贝叶斯(Bayes)估计的双小波维纳滤波的电能质量信号去噪算法。该算法在第一个小波域采用基于Bayes估计的小波阈值去噪技术估计期望信号,在第二个小波域将含噪信号和估计信号分别进行小波变换,用估计信号的小波系数设计经验维纳滤波器,对含噪信号的小波系数进行维纳滤波再反变换,从而实现去噪功能。实验结果表明该算法比常用的小波阈值去噪方法及基于它们的双小波维纳滤波算法去噪效果要好;当噪声强度逐渐增加时,该算法能够在诸算法中产生最大的信噪比。
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.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第4期52-57,共6页
Power System Protection and Control
基金
国家自然科学基金项目(51077058)~~
关键词
电能质量
双小波维纳滤波
小波阈值去噪
维纳滤波器
BAYES估计
power quality
double-wavelet Wiener filtering
wavelet thresholding denoising
Wiener filter
Bayes estimation
