• DocumentCode
    2250326
  • Title

    Mean-square-error reduction for quantized FIR filters

  • Author

    Izydorczyk, Jacek

  • Author_Institution
    Silesian Univ. of Technol., Gliwice
  • fYear
    2006
  • fDate
    16-19 May 2006
  • Firstpage
    76
  • Lastpage
    79
  • Abstract
    In the article the author discuss fundamental properties of canonic signed digit (CSD) fixed point representation of numbers. Although properties of CSD format are well known from literature, published proofs are tedious and occupy lot of columns of text. Here the problem has been reduced to the problem of combinatorial number. The tool for this reduction is a "drawer lemma" - lemma about the distribution of identical objects in drawers or holes. Next there is proposed an algorithm for the computation and quantization of canonic signed digit (CSD) coefficients in a constant-coefficient multiplierless FIR filter. The algorithm is proven to be optimal in the mean square error sense. The algorithm is recurrent and unexpectedly simple, so it can be easily implemented inside any mathematical program as MATLAB or MATHCAD
  • Keywords
    FIR filters; mean square error methods; MATHCAD; MATLAB; canonic signed digit fixed point representation; combinatorial number; constant-coefficient multiplierless FIR filter; drawer lemma; mathematical program; mean-square-error reduction; quantized FIR filters; Electrons; Finite impulse response filter; MATLAB; Mean square error methods; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
  • Conference_Location
    Malaga
  • Print_ISBN
    1-4244-0087-2
  • Type

    conf

  • DOI
    10.1109/MELCON.2006.1653040
  • Filename
    1653040