Real-time synthesis of FIR filters in frequency domain by feedback neural nets
Dhruba Kumar Bhattacharya, A. Antoniou · 2002
A Hopfield-type neural network is proposed for the synthesis of FIR filters. Given the amplitude response in the frequency domain the all-analog network computes the filter coefficients in real time. The network is simulated with HSPICE and two examples are included to show that this is an efficient way of computing filter coefficients compared to the standard techniques for FIR filter design.