Design of FIR Filter Using Particle Swarm Optimization Algorithm for Audio Processing

In this paper, an optimal design of linear phase digital finite impulse response (FIR) filter using Modified Particle Swarm Optimization (MPSO) has been presented. In the design process, the filter length, pass band and stop band frequencies, pass band and stop band ripple sizes are specified. Sometimes the gradient based optimization techniques are not effective for designing filter. An evolutionary method is introduced to find the optimal solution of FIR filter design problem. MPSO is a global stochastic searching technique that can find out the global optima of the problem. A simulation results reveals the optimization efficacy of the algorithm for the solution of, highly non-linear, and constrained filter design problems. The designed filter is then applied on the audio application for up sampling of the audio signal. MATLAB toolkit functions are used for implementation of proposed algorithm.