• DocumentCode
    2640324
  • Title

    A genetic algorithm for optimisation of linear phase FIR filter coefficients

  • Author

    Öner, Mehmet

  • Author_Institution
    VLSI Design Center, Tubitak Inf. Technol. & Electron. Res. Inst., Ankara, Turkey
  • Volume
    2
  • fYear
    1998
  • fDate
    1-4 Nov. 1998
  • Firstpage
    1397
  • Abstract
    A genetic algorithm is used to design and optimise the digital FIR filter coefficients. Given the desired amplitude response of the filter to be designed, the algorithm generates the filter coefficients with the specified number of taps and bits per coefficients. The linearity of the phase response is satisfied by making the filter coefficients symmetric. The algorithm generates a population of genomes that represents the filter coefficients and compares the amplitude response of each genome to that of the desired amplitude response. New genomes are generated by crossover, mutation operations as well as by deterministic pruning method. Since the algorithm directly generates digital coefficients, there is no need to truncate the coefficients for digital hardware implementation of the filter.
  • Keywords
    FIR filters; circuit optimisation; digital filters; genetic algorithms; linear phase filters; network synthesis; amplitude response; bits; crossover; deterministic pruning method; digital hardware implementation; filter coefficients optimisation; genetic algorithm; genomes; linear phase FIR filter coefficients; mutation operations; phase response linearity; taps; Algorithm design and analysis; Bioinformatics; Design optimization; Digital filters; Finite impulse response filter; Genetic algorithms; Genetic mutations; Genomics; Hardware; Linearity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5148-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.1998.751556
  • Filename
    751556