FIR Digital Filters Based on Cultural Particle Swarm Optimization

نویسندگان

  • Zhongkai Zhao
  • Hongyuan Gao
چکیده

Based on the study of cultural algorithms and particle swarm optimization, a new method of FIR digital filters design, called cultural particle swarm optimization (CPSO) is presented in this paper. CPSO is a global convergent algorithm that can find out the global optima of the problem. The algorithm concept and implementing procedure of CPSO are described in detail. The simulation results show that CPSO is better than the original PSO and QPSO with more rapidly convergence speed and better performance of the designed filter.

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تاریخ انتشار 2009