• DocumentCode
    3773689
  • Title

    Evolutionary Design of a Second-Order Butterworth Lowpass Filter

  • Author

    Yao Li;Xuehua Zhang;Hongyu Liu

  • Author_Institution
    Phys. Sch., Beihua Univ., Jilin, China
  • Volume
    2
  • fYear
    2015
  • Firstpage
    532
  • Lastpage
    535
  • Abstract
    The traditional design method of filter had too much human intervention, a very tedious design process. Precision of parameters was lower for the designed filter, bandpass edge of attenuation characteristics was not enough steep and filtering quality was lower. In order to overcome these shortcomings, an evolutionary design method for an analog filter is presented in the paper, according to basic principles of evolutionary design for circuit. The method is structure of a second-order Butterworth lowpass filter is devised by genetic programming. Optimization design of parameters for the filter is realized by improved adaptive genetic algorithm. Performance indexes for the filter are analyzed by simulation software. Design results have been simulated and verified. Experiment shows that values of evolutionary parameters are in line with theoretical values exceedingly for the filter, and simulation results are satisfying.
  • Keywords
    "Band-pass filters","Filtering theory","Filtering algorithms","Sociology","Statistics","Design methodology","Matched filters"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
  • Print_ISBN
    978-1-4673-9586-1
  • Type

    conf

  • DOI
    10.1109/ISCID.2015.126
  • Filename
    7469190