Predator Prey Optimization Technique for the Design of High Pass Digital FIR Filter

This paper elaborates the creative procedure for significant and stable design of optimal digital FIR high-pass filter using predator prey optimization technique (PPO). Predator prey optimization is undertaken as a worldwide search technique and tentative search is demoralized as local search technique. Also, Predator prey optimization (PPO) enhances the capability to explore the search space locally as well globally so as to obtain the optimal filter design parameters. The proposed PPO method is a robust technique with inherent parallelism, which can be easily handled with non-differential objective function, unlike other conventional optimization methods. The magnitude and phase response have been observed using MATLAB. The experimental results show that various statistical parameters have been calculated and analyzed for the better designing of FIR high pass digital filter.