Differential Evolution Technique for the Design of High-Pass FIR Digital Filter

This paper presents the robust design of Linear phase high-pass finite impulse response (FIR) digital filter using evolutionary technique called Differential Evolution (DE) and the impact of different mutation strategies have been studied based on minimum fitness function for the optimal design of FIR filter. DE is stochastic population based optimization algorithm which is used for multidimensional real valued functions and it explore the search space locally as well as globally to obtain the optimal design parameters. From the simulation results it has been shown that the applied algorithm DE can optimize the digital FIR filter in terms of minimizing the magnitude approximation error and ripple magnitudes of pass-band and stop band. KeyWords---Differential Evolution, Finite Impulse Response (FIR) digital filter, Magnitude Response.