A genetic algorithm for the design of low power high-speed FIR filters

A genetic algorithm (GA) is presented in this paper for the design of low power high-speed FIR digital filters. The success of the proposed method is based on the factorization of a long FIR filter into several short filters to increase the speed and lower power dissipation. With the help of GA encoding scheme, the coefficients of all subfilters are quantized into signed power-of-two (SPoT) values simultaneously. It is shown, by means of example, that the filters optimized by GA yield significant savings in terms of hardware cost.