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arXiv · 2411.19074

A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm

D. Jiménez-Galindo·P. Casaseca-de-la-Higuera·Luis M. San-José-Revuelta
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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).

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D. Jiménez-Galindo, P. Casaseca-de-la-Higuera, Luis M. San-José-Revuelta. 2024-11-28. A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm. https://doi.org/10.23919/eusipco.2019.8903129

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