基于神经网络的自适应IIR滤波器

Adaptive IIR Filtering Based on the Energy Function of Neural Network

基于神经网络理论中能量函数的概念 ,提出了一种自适应 IIR滤波器的设计方法。利用HOPFIELD的能量函数来解决 IIR滤波器的稳定问题 ,只用了一个人工神网络电路就可完成 ,而且计算速度快 ,避免了复杂性 ,可应用于快速变化信号的实时处理。

A design method of adaptive IIR filtering based on the energy function of neural network is presented. It can solve the stable problem of IIR filtering by the HOPFILED energy function, because it can complete this problem only using one circuit of artificial neural network with rapid computing rate to avoid complexity. It can be put to use timely treatment of the rapidly variable signal.