自适应滤波算法的神经网络实现

The Realization of Adaptive Filtering Based On Neural Networks

为了提高传统自适应滤波器求解权值的速度,本文在Hopfield神经网络的基础上,提出了自适应滤波算法的神经网络硬件实现,从理论上进行了分析,并进行了仿真。

On the basis of the Hopfield neural networks, this paper presents the adaptive algorithm through neural networks in order to raise the speed of conventional adaptive filter. The paper also analyses its theory and hardware realization, meanwhile, the simulation is also given.