Neural network for adaptive FIR filtering

A new approach to FIR adaptive filtering which is based on the use of a Hopfield-type neural network is proposed. The search for the optimum set of filter weights is not conducted with recursive digital algorithms, but is achieved in real time during the analogue transient of the neural network.