A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm
Abstract
The design of both FIR and IIR digital filters is a multi-variable optimization problem, where traditional algorithms fail to obtain optimal solutions. A modified Shuffled Frog Leaping Algorithm (SFLA) is here proposed for the design of FIR and IIR discrete-time filters as close as possible to the desired filter frequency response. This algorithm can be considered a type of memetic algorithm. In this paper, simulations prove the obtained filters outperform those designed using the traditional bilinear Z transform (BZT) method with elliptic approximation. Besides, results are close to, and even slightly better, than those reported in recent bio-inspired approaches using algorithms such as particle swarm optimization (PSO), differential evolution (DE) and regularized global optimization (RGA).
Cite
@article{arxiv.2411.19074,
title = {A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm},
author = {D. Jiménez-Galindo and P. Casaseca-de-la-Higuera and Luis M. San-José-Revuelta},
journal= {arXiv preprint arXiv:2411.19074},
year = {2024}
}
Comments
5 pages, 3 figures, 5 tables