Design of Digital Finite Impulse Response Filter with DE3 Optimization Technique
نویسندگان
چکیده
The research on optimal design of Finite impulse response (FIR) filter based on various optimization techniques, including evolutionary algorithm (EAs) have gained much attention in recent years. Genetic algorithm is a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover. The New Differential evolution algorithm based on reserve genes (Eclectic Differential Evolution) have been used here for the design of finite impulse response filters. This algorithm is applied in order to obtain the actual filter response as close as possible to the ideal response. In this method, the new vectors can be produced by the combination of genes of selected chromosomes. These new vectors as the individuals are evolved with other individuals in the population and also increase the diversity of population.
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