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Improved Design and Optimization of IIR Filters by Cascading of ABC, PSO, and CA
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Author(s): Yogesh Dabas (Ambedkar Institute of Advanced Communication Technologies and Research, India)and Neetu Agrawal (Ambedkar Institute of Advanced Communication Technologies and Research, India)
Copyright: 2020
Pages: 12
Source title:
Applications of Artificial Intelligence in Electrical Engineering
Source Author(s)/Editor(s): Saifullah Khalid (Airports Authority of India, India)
DOI: 10.4018/978-1-7998-2718-4.ch016
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Abstract
This chapter presents a technique for the design and optimization of the IIR filters by cascading the nature-inspired algorithms including ABC, PSO, and CA. All these algorithms are applied in Low Pass IIR filter and High Pass IIR filter to obtain the optimized filter coefficients so as to minimize the difference between an ideal magnitude response and the desired magnitude response. Finally, IIR filter magnitude response curves and the achieved fitness values for ABC, PSO, and CA are compared to that of the cascaded approach.
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