• DocumentCode
    1970723
  • Title

    VLSI implementation of residue-to-binary converters for digital signal processing

  • Author

    Wey, Chin-Long ; Lin, Shin-Yo

  • Author_Institution
    Nat. Central Univ. Jhong-li, Taoyuan
  • fYear
    2007
  • fDate
    17-20 May 2007
  • Firstpage
    536
  • Lastpage
    541
  • Abstract
    The residue number system (RNS) provides an attractive alternative to traditional weighted number systems for high speed digital signal processing (DSP) and communication applications. To interface with the digital system, where the binary numbers are employed, the RNS-based processors require the conversions between binary form to the residue representation. This paper presents a simple conversion algorithm and hardware implementation for any arbitrary moduli sets {2kn ,2n-1,2n+1}, where k is a positive integer. The converter hardware includes nothing but (2n) converting units, where each unit is comprised of a 1-bit FA (full adder), a 2-to-1 MUX (multiplexer), and two latches. Experimental results show that, for n=6 and k=2, the converter takes only an area of 16,968 um with a delay of 14.20 ns, and, for n=8 and k=4, the area is 22,624 um2 with a delay of 19.54 ns, where the TSMC 0.18 um 1P6M process were employed. Both area and speed performances are significant.
  • Keywords
    VLSI; convertors; digital signal processing chips; residue number systems; VLSI; arbitrary moduli sets; converter hardware; digital signal processing; residue number system; residue-to-binary converters; Adders; Circuits; Delay; Digital signal processing; Digital systems; Hardware; Multiplexing; Portable computers; Signal processing algorithms; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology, 2007 IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-0941-9
  • Electronic_ISBN
    978-1-4244-0941-9
  • Type

    conf

  • DOI
    10.1109/EIT.2007.4374470
  • Filename
    4374470