• DocumentCode
    302768
  • Title

    GA-based design of multiplierless 2-D state-space digital filters with very small roundoff noise

  • Author

    Lee, Young-Ho ; Kawamata, Masayuki ; Higuch, Tatsuo

  • Author_Institution
    Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
  • Volume
    3
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    1283
  • Abstract
    This paper presents a GA-based design method for multiplierless 2-D state-space digital filters (SSDFs) with very small roundoff noise. All coefficients of the designed 2-D SSDFs are expressed as the sum of two powers-of-two terms. Consequently, the multiplierless 2-D SSDFs are attractive for the high-speed operation and simplification of hardware, since the signal in the filters can be processed by fewer shifting operations and additions instead of multiplications. The proposed method can design multiplierless 2-D SSDFs without significantly increasing the roundoff noise power gain and with smaller approximation error than those of the other methods which use transfer functions in a continuous coefficient space. The effectiveness of the proposed method is demonstrated with a design example
  • Keywords
    filtering theory; genetic algorithms; roundoff errors; signal processing; state-space methods; transfer functions; two-dimensional digital filters; GA based design; additions; approximation error; continuous coefficient space; filter coefficients; high-speed operation; multiplierless 2-D state-space digital filters; power gain; roundoff noise; shifting operations; signal processing; transfer functions; Approximation error; Design engineering; Design methodology; Digital filters; Hardware; Power engineering and energy; Quantization; Signal processing; State-space methods; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.543660
  • Filename
    543660