International Journal of Scientific Engineering and Technology

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Performance Evaluation of Evolutionary Algorithms for Digital Filter Design


Affiliations
1 Department of Electronics Engineering, Sardar Patel Institute of Technology, Mumbai, Maharashtra, India
 

In this paper, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) have been used to design digital IIR filter and the filter responses have been compared with the desired responses. Simulation results show that PSO produces a response which is closest to the desired response. Hence, PSO algorithm can be effectively used to design digital filters.

Keywords

Digital IIR Filters, Digital FIR Filters, Particle Swarm Optimization, Genetic Algorithm.
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  • Performance Evaluation of Evolutionary Algorithms for Digital Filter Design

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Authors

P. Ashutosh
Department of Electronics Engineering, Sardar Patel Institute of Technology, Mumbai, Maharashtra, India
P. V. Kasambe
Department of Electronics Engineering, Sardar Patel Institute of Technology, Mumbai, Maharashtra, India

Abstract


In this paper, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) have been used to design digital IIR filter and the filter responses have been compared with the desired responses. Simulation results show that PSO produces a response which is closest to the desired response. Hence, PSO algorithm can be effectively used to design digital filters.

Keywords


Digital IIR Filters, Digital FIR Filters, Particle Swarm Optimization, Genetic Algorithm.