混合噪声中信号的检测比高斯噪声中信号的检测复杂，可能为多门限判决。
Detection of signals in hybrid noise environment is more complicated than that in Gaussian noise only. It involves multi-threshold judgement.
本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
本文提出了一种基于脉冲噪声中信号检测的模糊检测器的设计方法。
A new kind of design method of fuzzy detector based on signal detection in pulse noise is presented in this paper.
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