基于小波收缩的电机控制系统去噪研究  

Study on De-noising of Motor Control System Based on Wavelet Shrinkage

作　　者：代月明[1] 朱习军[1] 王致杰[1] 

机构地区：[1]山东科技大学

出　　处：《煤矿机械》2005年第6期23-24,共2页Coal Mine Machinery

摘　　要：小波变换的方法可以降低电机控制系统中的噪声影响,通过变换分解出高频噪声部分,利用小波收缩的阈值量化方法去掉高频部分,再重构信号从而达到去噪目的,通过实验总结出SYM12结合软阈值处理法在信号重构及去噪效果方面都是最优的。The wavelet transform is used to reduce the high frequency noise of motor control system signal. This transform decomposes the signal, thus separating the high frequencies due to noise effects. After the decomposition, the wavelet shrinkage is performed by thresholding to eliminate the high frequency component. Then the signal can be reconstructed without the high frequency component. We performed a comparative de-noising study respectively using the daubechies wavelet and symmlets wavelet shrinkage technique. From the test one can verify again that the best results were obtained using SYM12 with ST.

关 键 词：小波收缩 软阅值 硬阈值 电机控制系统 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]