分析了认知无线电网络中使用能量检测器进行频谱检测的性能。
We analyzed the performance of spectrum sensing with energy detector in cognitive radio network.
在此基础上， 对现有的基于人工免疫的网络入侵检测算法进行分析比较， 针对线性时间检测器生成算法的不足作了改进。
Then it analyzes and compares the existing network intrusion detection algorithm based on artificial immune, and improves the linear time detector generating algorithm for the deficiency.
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.
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