Asymmetric FIR filter design using evolutionary optimization

Abstract

This paper presents general finite impulse response (FIR) digital filter design with asymmetric coefficients to approximate passband and stopband magnitude responses and constant passband group delay specifications using an evolutionary optimization algorithm called the Interactive Self Learning Algorithm (ISLA). Lowpass and bandpass digital filters are chosen and their design results are shown to demonstrate the effectiveness of the approach. Results indicate that passband and stopband peak magnitude errors and passband peak group delay error can be designed to approximate given specifications.