Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 136-138, 156.doi: 10.11896/j.issn.1002-137X.2017.6A.031

Previous Articles     Next Articles

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

[1] 程佩青.数字信号处理教程[M].北京:清华大学出版社,2001
[2] LI K,LIU Y.The FIR window function design based on evolutionary algorithm[C]∥Proceedings of 2011 International Conference on Mechatronic Science,Electric Engineering and Computer (MEC).IEEE,2011:1797-1800.
[3] ZHAO Z,GAO H,LIU Y.Chaotic particle swarm optimization for FIR filter design[C]∥Proceedings of 2011 International Conference on Electrical and Control Engineering (ICECE).IEEE,2011:2058-2061.
[4] KENNEDY J,EBERHART R.Particle swarm optimization[C]∥Proceedings of IEEE International Conference on Neural Networks.1995:1942-1948.
[5] 李辉,张安,赵敏,等.粒子群优化算法在FIR数字滤波器设计中的应用[J].电子学报,2005,33(7):83-85.
[6] 林川,冯全源.基于粒子群优化算法思想的组合自适应滤波算法[J].电子与信息学报,2009,31(5):1245-1248.
[7] 邵鹏,吴志健,周炫余.基于反向学习的粒子群算法对线性相位低通FIR滤波器的优化[J].吉林大学学报(工学版),2015,45(3):907-912.
[8] TIZHOOSH H R.Opposition-Based Learning:A New Scheme for Machine Intelligence[C]∥2005 and International Con-ference on Intelligent Agents,Web Technologies and Internet Commerce,International Conference on Proceedings of Computational Intelligence for Modeling,Control and Automation.2005:695-701.
[9] WANG H,LI H,LIU Y,et al.Opposition-based particle swarm algorithm with cauchy mutation[C]∥Proceedings of IEEE Congress on Evolutionary Computation.Singapore:IEEE Press,2007:4750-4756.
[10] 邵鹏,吴志健.一种带正弦函数因子的粒子群优化算法[J].小型微型计算机系统,2015,36(1):156-161.
[11] 邵鹏,吴志健,周炫余,等.基于折射原理反向学习模型的改进粒子群算法[J].电子学报,2015,43(11):2137-2144.
[12] SAHA S K,GHOSHAL S P,MANDAL D,et al.Cat swarm optimization algorithm for optimal linear phase FIR filter design[J].ISA Transactions,2013,52(6):781-794.
[13] NGAMTAWEE R,WARDKEIN P.Linear-phase FIR designusing PSO method with Zero-phase Pre-design[C]∥Proceedings of International Conference on Electrical Engineering/electro-nics,Computer,Telecommunications and Information Technology.IEEE,2013:1-5.
[14] 纪跃波,秦树人,汤宝平.零相位数字滤波器[J].重庆大学学报(自然科学版),2000,23(16):4-7.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .