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Based on Chaotic Mutation Particle Swarm Optimization (CPSO), this paper proposed a novel method for satisfactory design of digital IIR filters. First, chaotic mutation was used to improve the performance of standard PSO to avoid premature convergence. Then, the ??shrinking?? strategy was introduced to raise its local search ability. Finally the CPSO algorithm was used to optimize the IIR digital...
The design of FIR digital filters in nature is a problem of multi-parameters non-linear optimization. In this paper, a novel method based on chaotic mutation particle swarm optimization (CPSO) was proposed to design FIR digital filters. First, chaotic mutation, which behaves excellent in local searching, was introduced to improve the performance of the standard PSO. Then, the new algorithm was employed...
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