• DocumentCode
    341769
  • Title

    A filter-coefficient quantization method with genetic algorithm

  • Author

    Haseyama, Miki ; Kitajima, Hideo

  • Author_Institution
    Sch. of Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    3
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    399
  • Abstract
    A method with a genetic algorithm (GA) to quantize filter coefficients is proposed. The proposed method searches a population of the quantized filters for the optimal quantized filter which retains the frequency characteristic of a reference filter, by using the GA. In order to establish this method, we decide how to execute the following GA procedures: representation of strings; fitness (objective function); reproduction; crossover and mutation. The experimental results are included to verify that the proposed method can obtain the filter with better frequency characteristic than ones which the traditional quantization methods, such as to round off, round up, and round down, provides
  • Keywords
    circuit optimisation; digital filters; genetic algorithms; quantisation (signal); crossover; filter-coefficient quantization method; frequency characteristic; genetic algorithm; mutation; objective function; reproduction; Bandwidth; Biological cells; Digital filters; Energy states; Flowcharts; Frequency; Genetic algorithms; Genetic mutations; Quantization; Random processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.778869
  • Filename
    778869