《Table 2.Filter coefficients and the time shift for the low-pass filter used in the temporal consist

《Table 2.Filter coefficients and the time shift for the low-pass filter used in the temporal consist   提示：宽带有限、当前游客访问压缩模式
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《Probabilistic Automatic Outlier Detection for Surface Air Quality Measurements from the China National Environmental Monitoring Network》


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where Ft（i）is the estimated value at time i，f is the observed value at the target site，and h（k）represents the low-pass filter coefficient（listed in Table 2）.The filter coefficients are calculated following the algorithm designed by Karam and McClellan（1995），and the passband and stopband frequency is set to 1/8 and 1/24 h，respectively.The low-pass filter tends to preserve the low-frequency signals of normal variations from atmospheric chemistry and restrain the abnormal highfrequency signals accompanied by outliers.Compared with a moving average，it makes the residuals of normal observations smaller through giving higher weights to the data closer to the checkpoint.

图表编号XD0015821700    严禁用于非法目的
绘制时间2018.12.10
作者Huangjian WU、Xiao TANG、Zifa WANG、Lin WU、Miaomiao LU、Lianfang WEI、Jiang ZHU
绘制单位State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics, Chinese Academy of Sciences、University of Chinese Academy of Science、State Key Laboratory of Atmospheric Boundary Layer Physics and Atmo
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