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根据小波变换能从原始信号中分离高频段噪声的特性 ,本文提出一个用小波分析法从分析化学信号中估计Kalman滤波法所需要的噪声测量方差的新途径。
According to the characteristic that wavelet transform can separate the high-frequency noise from the original signal, this paper presents a new way to estimate the noise measurement variance required by Kalman filtering from analytical chemical signals by using wavelet analysis.