Digital filter design methods and performance analyses

In this thesis; designing of a numerical fitler by using Genetic Algorithm(GA) was performed.Population size, scaling of the fitness function, selection function, mutation function, cross-over function, and cross-over rate varieties which are all of the genetic algorithm parameters were used and their effects were explained.Some information about numerical filters were given and structure of FIR(finite impulse response) and types of filters were explained.Two different interface were designed for calculation of the coefficient of the FIR filters which were obtained by using Genetic algorithm and for obtaining the filter response graphically by using the obtained coefficient values. One of these interfaces was prepared by using MATLAB GUI and the other one by using ASP.NET. Results obtained from the both interfaces were compared.