基于神经网络的噪声对消系统及其仿真

Simulation of Noise Cancellation System Based on Neural Networks

无论是在工业控制还是在信号处理中,噪声都会随时随地地被引入。利用可测的噪声信号,再令其通过BP的两层神经网络,能较好地恢复原信号,并且收敛速度较快,对于信号测量与信号控制中的噪声去除有一定的推广性。

Artificial neural network is a theoretical model of the human brain and its activities which consists of a large number of processing units interconnecting in an appropriate manner, is linear adaptive systems. Whether in industrial control or signal processing, noise will be introduced in the mathematic, a large-scale non- at any time, using the noise signal can be measured, making it through the two layers BP neural network can be restore the original signal quick well in a quick convergence speed, and has a certain promotion in the signal measurement and signal control for the noise reduction.