Abstract
This paper presents the swarm intelligence (SI)-based particle swarm optimisation (PSO) in context of designing infinite-impulse response (IIR) digital filters. IIR filters are the part of digital filters with recursive responses. Since the error surface of IIR digital filters is generally non-linear and multimodal, global optimisation techniques are required in order to avoid local minima. The particle swarm optimisation algorithm is then applied for calculating optimal coefficients of IIR digital filters and comparison is done preferably with filter design tool and other heuristic techniques. The simulation results of benchmark filter are discussed in this paper and can be efficiently used for IIR digital filter design.
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