This thesis considers a genetic optimization method of digital finite impulse response (FIR) filters of which coefficients are expressed as the sum of power-of-two (SOPOT). For efficiency of optimization, the search space is reduced by a coefficient coding scheme and adjusted code size of each coefficient according to characteristics of the filters. It is compared with other algorithms for low pass filter. The proposed algorithm is also applied to the filter bank for speech recognition.
