基于时空神经网络的AM调幅波解调方法研究  

Research of Demodulation AM Signal Based on Space-time Neural Network

作　　者：樊京[1] 张宏伟[1] 

机构地区：[1]南阳理工学院,河南南阳473061

出　　处：《现代电子技术》2006年第15期9-10,14,共3页Modern Electronics Technique

摘　　要：AM调幅信号在通信领域有着极为广泛的应用。传统的AM调幅信号解调方法是同步检波和包络检波法。对时空神经网络的研究提出了一种新的对基于时间的信号处理方法,在具体操作时改变权值就可对不同类型信号进行解调。用时空神经网络方法对AM调幅波进行解调的Matlab仿真结果表明,此方法是可行的。Amplify Modulation （AM） signal has widely used in communication field. Traditional way of AM signal demodulation is envelope detector or synchronism detector. Raising space - time neural network can provide a new way of dealing with signal based on time. When you are working on it,you can demodulate different kinds of signals by changing weight. The Matlab simulationt which demodulates AM signal using the way of space - time neural network shows that it is possible.

关 键 词：时空神经网络 解调 AM调幅信号 MATLAB仿真 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]