• DocumentCode
    528687
  • Title

    On the number representation in sub-expression sharing

  • Author

    Imran, Muhammad ; Khursheed, Khursheed ; O´Nils, Mattias ; Gustafsson, Oscar

  • Author_Institution
    Dept. of Inf. Technol. & Media, Mid Sweden Univ., Östersund, Sweden
  • fYear
    2010
  • fDate
    7-10 Sept. 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    The core of many DSP tasks is Multiplication of one data with several constants, i.e. in Digital filtering, image processing DCT and DFT. The Modern Portable equipments like Cellular phones and MP3 players which has DSP circuits, involve large number of multiplications of one variable with several constants (MCM) which leads to large area, delay and energy consumption in hardware. Multiplication operation can be realized using addition/subtraction and shifts without general multipliers. Different number representations are used in MCM algorithms and there are differnet views about different representations. Some of the authors termed the Canonic Signed Digit (CSD) representation as better for subexpression sharing. We have compared the results of CSD and Binary representations using our Generalized MCM Algorithm on Random Matrices and come to conclusion that binary representation is better compared to CSD when a system has multiple inputs and multiple outputs.
  • Keywords
    matrix algebra; multiplying circuits; signal processing; CSD representation; DSP; MP3 player; canonic signed digit representation; cellular phone; generalized MCM algorithm; multiple constant multiplication; random matrices; sub-expression sharing; Adders; Algorithm design and analysis; Delay; Digital signal processing; Finite impulse response filter; Hardware; Signal processing algorithms; Canonic Signed Digit (CSD); Minimal Signed Digit (MSD); Multiple Constant Multiplication (MCM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems (ICSES), 2010 International Conference on
  • Conference_Location
    Gliwice
  • Print_ISBN
    978-1-4244-5307-8
  • Electronic_ISBN
    978-83-9047-4-2
  • Type

    conf

  • Filename
    5595265