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Swarm intelligence based techniques for digital filter design
Affiliation:1. ITER, SOA University, Bhubaneswar, India;2. CVRCE, Bhubaneswar, India;3. IIT, Delhi, India;1. Department of Instrumentation & Control, SVIT, Vasad, Gujarat, India;2. Department of Instrumentation & Control, Nirma University, Ahmedabad, Gujarat, India;1. School of Management, Hefei University of Technology, Hefei 230009, PR China;2. Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei 230009, PR China;3. Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07012, USA;1. School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, China;2. Signal and Image Processing Institute, Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90007, USA
Abstract:This paper deals with the problem of digital IIR filter design. Two novel modifications are proposed to Particle Swarm Optimization and validated through novel application for design of IIR filter. First modification is based on quantum mechanics and proved to yield a better performance. The second modification is to take care of time dependency character of the constriction factor. Extensive simulation results validate the superior performance of proposed algorithms.
Keywords:Digital filter design  Particle Swarm Optimization  IIR filter
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