Paper
3 February 2023 Design of fractional delay FIR filter based on improved moth flame optimization algorithm
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251120 (2023) https://doi.org/10.1117/12.2660010
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
Considering the non-differentiability and multimode of fractional delay (FD) FIR filter, this paper proposes an improved moth-flame optimization (IMFO) algorithm, which combines moth-flame optimization (MFO) algorithm with Lévy flight to improve the search ability of the algorithm. In order to improve the flexibility of traditional filter design method, amplitude and phase weighted fitness function is proposed. In order to verify the reliability of the algorithm, a simulation example is designed to prove that the optimization ability of the algorithm is better than the traditional method and the traditional MFO algorithm.
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Chao Qian, ZhouPeng Ding, and HongTao Li "Design of fractional delay FIR filter based on improved moth flame optimization algorithm", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251120 (3 February 2023); https://doi.org/10.1117/12.2660010
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KEYWORDS
Flame

Mathematical optimization

Design and modelling

Finite impulse response filters

Frequency response

Computer simulations

Optical filters

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