通信信号的分类识别是一种典型的统计模式识别问题。
The classification and identification of communication signal is a typical statistical pattern identification.
通信信号调制类型的分类识别是一种典型的模式识别问题，它涉及到很多复杂的因素。
The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.
在利用地面传感器获取目标地震信号特征的基础上，借助神经网络理论，解决基于地震动信号的典型目标的模式识别问题。
On the basis of acquiring character of seismic signal of target by ground sensors, in virtue of nerve network, it solves pattern recognition of typical target based on seismic signal.
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