Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 136-138.doi: 10.11896/j.issn.1002-137X.2017.6A.031

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FIR Low-pass Digital Filter Design Using Improved PSO Algorithms

SHAO Peng, WU Zhi-jian, PENG Hu, WANG Ying-long and ZHOU Xuan-yu   

  • Online:2017-12-01 Published:2018-12-01

Abstract: Particle swarm optimization presents an excellent optimization performance when it solves some complex problems because of its advantages such as few parameters and easy implementation.Finite impulse response digital filters have some advantages such as stable structure and easy implementation,which make FIR low pass digital filters have a widely practical application.Therefore,in this paper,TFPSO was introduced to design FIR low pass digital filter and make a comparison with FIR low pass digital filters designed by refrPSO and OPSO.In the experiment,the excellent fitness function was proposed to test the performance of FIR low pass digital filters designed by several improved PSO algorithms.The experiment results show that refrPSO has an excellent filter performance and TFPSO has a weak filter performance.

Key words: Intelligent algorithms,Particle swarm optimization,FIR digital filter

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