基于自适应线性神经网络的噪音处理的研究

Study on Noise Processing Based on Adaptive Linear Neural Network Adaptive Linear Neural Network Based Processing of the Noise

在信号处理中具有高稳定性能的滤波器一直是处理噪音干扰所追求的目标.本文通过利用线性自适应神经网络中的LMS算法来对噪音处理进行研究.研究表明基于自适应线性神经网络的降噪处理,从本质上是可以消除迭加的噪音信号.

The filter with high stability in signal processing is always the goal to persuade in noise handling.This thesis dealt with the noise using the linear adaptive LMS neural network algorithm.The results show that the linear neural network based on adaptive noise reduction can be eliminated from the superposition of essentially random signal.