论文部分内容阅读
分析了通信信道在传输信号时使信号发生畸变的现象，提出用径向基函数神经网络方法描述信道的畸变特征，并利用此方法作了仿真计算，结果表明用神经网络方法进行畸变信号重建效果较好。
The distortion of the signal is analyzed when the signal is transmitted. The radial basis function neural network is used to describe the distortion characteristics of the channel, and the simulation results are given. The results show that the neural network method can be used to reconstruct the distorted signal better.