Particle Swarm Optimization Algorithm Based Window Function Design

The window functions used for digital filter design are used to eliminate oscillations in the FIR (Finite Impulse Response) filter design. In this work, the use of Particle Swarm Optimization (PSO) algorithm is proposed in the design of cosh window function, in which has widely used in the literature and has useful spectral parameters. The cosh window is a window function derived from the Kaiser window. It is more advantageous than the Kaiser window because there is no power series expansion in the time domain representation. The designed window function shows better ripple ratio characteristics than other window functions commonly used in the literature. The results obtained were presented in tables and figures and successful results were obtained