This paper introduces a typical detecting circuit and discusses how to determine the SNR and the threshold of discrimination range when the laser pulse signals in the white noise are detected.
本文介绍一种典型探测电路，并论述了在白噪声中探测脉冲信号时如何确定信噪比和鉴幅阈值。
This paper puts forward a method to select threshold by discrimination analysis. The method has been applied to vectorization of bit map and got satisfactory effects.
本文提出一个利用判别分析来选取阈值的方法，并已应用在点阵地图矢量化的工作中，取得良好的效果。
The structure of the FNN is given, and the learning method is presented. Meanwhile a fault discriminant method for threshold vector is employed, which makes fault discrimination even more flexible.
文中给出了模糊神经网络的结构和学习方法，并提出了一种阈值向量故障判别方法，使故障判别更具灵活性。
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