基于改进的小波阈值的电能质量信号去噪

许超

许超.基于改进的小波阈值的电能质量信号去噪[J].电测与仪表,2015,52(5):.
Xu chao.Power quality signal denoising based on improved wavelet threshold[J].Electrical Measurement & Instrumentation,2015,52(5):.

基于改进的小波阈值的电能质量信号去噪

Power quality signal denoising based on improved wavelet threshold

DOI：

中文关键词: 去噪预处理最大后验估计小波变换

英文关键词:denoising preprocessing maximum posteriorim estimation wavelet transform

基金项目:

作者中文名	作者英文名	单位
许超	Xu chao	安徽理工大学电气与信息工程学院淮南 232000

摘要点击次数: 1971

中文摘要:

对于暂态的电能质量信号的监测,研究了一种用最大后验估计的双树复小波变换对电能扰动信号进行去噪高效算法。首先运用最大后验估计对扰动信号的改进的小波阈值进行去噪预处理,然后对于不同分解层的细节系数噪声方差和信号方差进行估算,并且运算出不同分解层阈值,从而得出去噪阈值。仿真实验结论表明：所提出算法步骤简单,计算速度快而且易于实现,去噪效果理想,具有很好的应用前景。

英文摘要:

In order to accurately detect power quality of transient signal, a high-efficient power algorithm is presented with a dual-tree complex wavelet denoising method based maximum posteriorim( MAP) estimation is used to preprocess power quality disturbance signal． Firstly, using the maximum posteriorim estimation of improved wavelet threshold to disturbance signals were denoised, then for different decomposition layer detail coefficient noise variance and signal variance estimation, and calculate the layer threshold of different decomposition, thus out noise threshold. Simulation experimental results show that the proposed algorithm has simple steps, fast calculation speed and easy to realize, the denoising effect is ideal, has the very good application prospect.

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