基于Daubechies小波球团矿还原曲线的降噪及其偏差校正

Reducing noise of curve and calibration of deviation for reducibility of pellet with Daubechies wavelet

由于仪器信号噪声的存在使得球团矿还原率试验出现偏差,影响检测精度,为了有效消除仪器信号噪声的影响,利用MATLAB一维离散小波的工具箱GUI功能,将球团矿还原过程的含噪曲线进行噪声去除,并对球团矿相对还原率的最终结果予以校正,以节省试验成本,提高检测精确度。

Because of the instrument signal noise exists, pellets reduction rate test has deviation which may affect the precision of detection. In order to eliminate the influence of the instrument signal noise, we use of wavelet 1-D of wavelet boxes to eliminate the noise of noisy curve during reducibility of pellet and calibrate the final result of reducibility of pellet, so that the expense is saved and the precision is improved.