Description
"Optimizing Transition Band Samples in FIR Filters by Using Particle Swarm Optimization" presents a novel method for optimizing the transition band of FIR filters using Particle Swarm Optimization (PSO). The book introduces the challenges involved in designing FIR filters, specifically in reducing the width of the transition band without compromising filter performance. PSO, inspired by the social behavior of birds and fish, is used to explore the solution space efficiently and optimize filter parameters such as coefficients and transition band samples. The text covers the theoretical aspects of PSO and its implementation in FIR filter design, illustrating how this optimization technique can enhance filter performance in terms of both frequency response and computational cost. With practical examples, MATLAB code implementations, and case studies, the book serves as a useful guide for signal processing professionals and researchers looking to improve FIR filter design using advanced optimization algorithms like PSO.