This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
So it is suitable for the practical application of signal detection and fast recognition in non-cooperation communication systems.
该算法有望用于实际的非协作通信系统中信号的检测和快速识别。
The work of this paper can be divided into five parts: signal collecting, signal detection, classification recognition, terminal display and experimental analysis.
可以将本文的工作大致分为五个部分：数据采集、信号探测、分类识别、终端显示、实验分析。
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