自适应滤波算法的神经网络实现

Realization of adaptive filtering algorithm based on neural networks

为了提高传统自适应滤波器求解权值的速度,在Hopfield神经网络的基础上,提出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,the neural network hardware realization of adaptive algorithm is presented to raise the speed of conventional adaptive filter.The theoretic analysis and simulation are also given.