采用信号四阶和六阶统计量提取信号特征，使用新设计的误差函数训练RBF神经网络，使得识别的效率和正确度得到了明显的改善。
The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.
本文给出了制定定时截尾寿命试验下指数分布产品失效率的抽样检验方案的一个新方法，检验统计量是总试验时间。
This paper gives a new statistical method of working out a sampling inspection plan for the failure rate of exponential populations.
本文给出了制定定时截尾寿命试验下指数分布产品失效率的抽样检验方案的一个新方法，检验统计量是总试验时间。
A sampling inspection plan for the failure rate of GBVE distribution with the test statistic of total experimental time based on Type I censoring is presented.
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