基于小波邻域阈值分类的电能质量信号去噪算法

提出了一种基于小波邻域阈值分类的自适应阅值电能质量信号去噪算法.首先结合所用小波函数,基于模极大值小波域确定最佳邻域窗口尺寸;然后利用各个尺度携带信号信息的小波系数其分布具有"簇聚"性质及其小波系数具有局部相关性,通过邻域阈值对小波系数进行分类,对分类后的"小"系数直接置零,对"大"系数则采用一种具有局部强相关性的零均值高斯模型,通过最小均方误差准则得到其估计.仿真实验结果表明,该算法对实际电能质量信号去噪是有效的,在去噪性能上优于常用的多种自适应阈值去噪算法.

A Power Quality Signal Denoising Algorithm Based on Wavelet Domain Neighboring Thresholding Classification

This paper proposes an adaptive threshold estimation algorithm for power quality signal denoising based on wavelet neighboring thresholding classification. For input signals,firstly the optimal neighboring window size is proposed by modulus maximum wavelet domain. In wavelet domain,it shows that detail wavelet coefficients come as groups and have high local correlation. Then according to its corresponding neighboring threshold,each coefficient in a subband is classified as large or small category. Those sma...