• DocumentCode
    848539
  • Title

    Evolutionary synthesis of digital filter structures using genetic programming

  • Author

    Uesaka, Kazuyoshi ; Kawamata, Masayuki

  • Author_Institution
    Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
  • Volume
    50
  • Issue
    12
  • fYear
    2003
  • Firstpage
    977
  • Lastpage
    983
  • Abstract
    This paper presents a synthesis method for infinite-impulse response (IIR) digital filter structures using genetic programming with automatically defined functions (GP-ADF). In the proposed method, digital filter structures are represented as S-expressions with subroutines, which are written directly from the set of difference equations. This paper also shows the condition for the constructing the S-expressions that represent the filter structures without delay-free loops. Numerical examples synthesize two-filter structures: the low-coefficient sensitivity fourth-order filter structure and the low-output roundoff noise second-order filter structure.
  • Keywords
    IIR filters; computability; digital filters; genetic algorithms; roundoff errors; transfer function matrices; S-expressions; automatically defined functions; computability; difference equations; digital filter structures; digital filter wordlength effects; evolutionary synthesis method; fitness measure; fourth-order filter; genetic programming; global optimization; infinite-impulse response filters; low-coefficient sensitivity; low-output roundoff noise; matrix representation; subroutines; transfer function; Delay; Difference equations; Digital filters; Energy consumption; Genetic programming; Hardware; Helium; IIR filters; Software algorithms; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/TCSII.2003.820240
  • Filename
    1255681