• DocumentCode
    2311334
  • Title

    The implementation of an efficient and high-speed inner-product processor

  • Author

    Wang, Guoping ; Tull, Monte

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    4-7 Nov. 2001
  • Firstpage
    1362
  • Abstract
    A novel, high-performance fixed-point inner-product processor based on a redundant binary number system is presented. The proposed scheme decreases the number of partial products to 50%, compared to other methods, while achieving better speed and area performance and providing pipeline extension opportunities. When modified Booth encoding is used, partial products are reduced by almost 75%, thereby significantly reducing the multiplier addition depth. The design is applicable for digital signal and image processing applications that require inner-product arithmetic, such as digital filters, correlation and convolution. The proposed design is well suited for VLSI implementation, and it can also be embedded as an inner-product core inside a DSP processor or FPGA-based processor.
  • Keywords
    VLSI; digital arithmetic; digital signal processing chips; encoding; field programmable gate arrays; integrated circuit design; logic design; pipeline processing; DSP processor; FPGA-based processor; VLSI; complex number arithmetic; convolution; correlation; digital filters; digital signal processing; fixed-point processor; image processing; inner-product processor; modified Booth encoding; multiplier addition depth; partial products; pipeline extension; redundant binary number system; Convolution; Digital arithmetic; Digital filters; Digital signal processing; Image coding; Image processing; Pipelines; Signal design; Signal processing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7147-X
  • Type

    conf

  • DOI
    10.1109/ACSSC.2001.987714
  • Filename
    987714