A batch back-propagation neural networks (BBPNN) approach was presented to design general two-dimensional (2-D) quasi-equripple zero-phase finite-impulse response (FIR) digital filters. By minimizing the frequency-domain weighted error function, the BBPNN design method was obtained. The solution was presented as a parallel algorithm to approximate the desired frequency response specification. Thus, the method makes a fast calculation of the filter's coefficients possible. It is shown that the method leads to an optimal solution for the filter coefficients. The implementation of the approach wa...
