The modulation recognition technology for communication signals based on BP neural networks is studied.
本文研究了基于BP神经网络的通信信号调制体制识别技术。
Experiment result shows that these technologies have better performances for automatic modulation recognition of communication signals.
实验结果表明，该技术拥有较好的通信信号调制体制识别性能。
The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.
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。
应用推荐