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2021 | OriginalPaper | Chapter

Biogeography-Based Optimization Technique for Optimal Design of IIR Low-Pass Filter and Its FPGA Implementation

Authors : K. Susmitha, V. Karthik, S. K. Saha, R. Kar

Published in: Evolutionary Computing and Mobile Sustainable Networks

Publisher: Springer Singapore

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Abstract

A bio-inspired meta-heuristic biogeography-based optimization (BBO) algorithm, which imitates the migration and mutation processes of different species according to the habitat features, is used in this paper in order to get the optimal coefficients of an infinite impulse response (IIR) low-pass filter (LPF) of order 8. BBO mainly depends on the immigration rate (IR) and emigration rate (ER), through which the searching efficiency is enhanced. The simulation results have shown a better performance in terms of stopband attenuation, transition width, passband ripples (PBR), and stopband ripples (SBR). The optimized coefficients are utilized for the implementation of the IIR filter in the Verilog hardware description language (HDL) with the field-programmable gate array (FPGA).

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Metadata
Title
Biogeography-Based Optimization Technique for Optimal Design of IIR Low-Pass Filter and Its FPGA Implementation
Authors
K. Susmitha
V. Karthik
S. K. Saha
R. Kar
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-5258-8_23