北京大学数学科学学院
纸质出版:1999
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[1]程乾生,周小波.自适应预测法在去噪声中的应用[J].电子学报,1999(08):10-12.
Cheng Qiansheng, Zhou Xiaobo. Adapted Prediction Method for Noise Attenuation[J]. Acta Electronica Sinica, 1999, (8).
在信号检测中,突变点和脉冲点的检测尤为重要.本文首先用多项式预测法找出输入信号的突变点和脉冲点.并证明了预测因子之和为1.文中将时间域里的一维信号看成有序样品,由突变点将信号按谱系分成多类.然后对每一类用多项式预测法,即左预测和右预测去除脉冲噪声和白噪声.该方法能有效的保持信号的突变现象.
In detection of signals
detection of jump points and impulse points are more important.In this paper
we find out the jump points and impulse points of the signal.We can regard the one dimensional signal as ordered samples
to classify the signal by jump points.In every classification
We derive a polynomial predictor
namely left prediction and right prediction
to attenuate white noise and impulase noise.The method can retain the signal jump phenomenon effectively.
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