Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 601-604.

• Interdiscipline & Application • Previous Articles     Next Articles

FIR High Pass Digital Filter Design Based on Improved Chaos Particle Swarm Optimization Algorithm

HU Xin-nan   

  1. Land Heavy Industry Design & Research Institute,Shanghai Zhenhua Heavy Industries,Shanghai 200125,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: This paper proposed a chaos particle swarm optimization algorithm (CPSO) which combined with the weight improved to design the linear phase FIR digital filter.In this method,the minimum mean square error function is used as the fitness function,and finally the coefficient of the FIR digital filter is obtained.In order to confirm the availability of the method,CPSO algorithm was compared with the least square method and the basic PSO.The experiment results show that the FIR digital filter designed by CPSO has a better convergence,the band-pass characteristics and the stop-band characteristics.

Key words: CPSO, Line-phase FIR, Parameter optimization, Weight improved

CLC Number: 

  • TP391
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