摘要
数据校正即是从测量的过程数据中消除过失误差并降低随机误差对测量值的影响,这对过程控制是非常重要的.采用移动中值滤波器(MM)消除过失误差,然后应用小波变换滤除随机误差.仿真结果表明,这种混合数据校正方法可以有效地进行数据校正,提高测量数据的可靠性.
Data rectification is to remove gross errors from measured process data and decrease the influence of random errors on measurements. It is also important for process control. In this paper, moving median filter is used to remove gross errors and wavelet transformation is used to eliminate random errors. Simulations show the hybrid data rectification method can effectively rectify data and largely increase the reliability of measured data .
出处
《沈阳化工学院学报》
2005年第1期54-56,共3页
Journal of Shenyang Institute of Chemical Technolgy
关键词
数据校正
移动中值滤波
小波变换
data rectification
moving median filter
wavelet transformation
