摘要
本文主要讨论了快脉冲信号在传输过程中发生畸变后的恢复问题，提出一种神经网络方法。文中给出了网络结构、学习算法。
Distortion is inevitable when fastpulse signals are transmitted
in cables. Especially, when transmission distance is longrange, the distortion can not be ignored
for many physical parameter measurements and analyses. Distortion recovery is discussed in
this paper. A new method based on neural networks is proposed. It includes network structure,
learning algorithm, the results of digital simulation and physical experiment.
出处
《微机发展》
1999年第4期7-10,共4页
Microcomputer Development
关键词
信号处理
信号畸变
信号恢复
神经网络
学习算法
Signal
Processing
Signal Distortions
Signal Recovery
Neural Network
Learning Algorithm
