应用小波收缩去除电机控制系统中的噪声  

De-noising Method for Motor Control System via 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：《煤矿机电》2005年第4期45-47,共3页Colliery Mechanical & Electrical Technology

摘　　要：本文应用小波变换可以降低电机控制系统中噪声影响的技术,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,得出SYM12结合软阈值处理法具有最优的信号重构及去噪效果。The paper applies the technology of wavelet transforming to weaken the noise effect in motor contor system and decomposes the high frequency noise component by transforming. After eliminating the high frequency component by threshold quantizing of the wavelet shrinkage, signals can be reconstructed for the de-noising aim.According to experiments, it can be concluded that the treatment combining SYM12 with the soft threshold has the optimized signal reconstruction and de-noising results.

关 键 词：小波收缩 软硬阈值 电机控制系统 去噪 小波变换 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]