A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866913590109274112 |
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| author | Jiménez-Galindo, D. Casaseca-de-la-Higuera, P. San-José-Revuelta, Luis M. |
| author_facet | Jiménez-Galindo, D. Casaseca-de-la-Higuera, P. San-José-Revuelta, Luis M. |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_19074 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm Jiménez-Galindo, D. Casaseca-de-la-Higuera, P. San-José-Revuelta, Luis M. Signal Processing 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). |
| title | A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2411.19074 |