• DocumentCode
    1525990
  • Title

    A scan-based configurable, programmable, and scalable architecture for sliding window-based operations

  • Author

    Thibeault, Claude ; Begin, Guy

  • Author_Institution
    Dept. of Electr. Eng., Ecole de Technol. Superieure, Montreal, Que., Canada
  • Volume
    48
  • Issue
    6
  • fYear
    1999
  • fDate
    6/1/1999 12:00:00 AM
  • Firstpage
    615
  • Lastpage
    627
  • Abstract
    In this paper, a scan-based programmable, configurable, and scalable architecture is proposed. This architecture is suitable for a wide range of applications in signal processing requiring programmability and presenting high bandwidth and real-time requirements beyond the capacity of off-the-shelf DSPs or FGPAs. The architecture is specifically targeting a very common type of signal processing operation: sliding window operations (SWOs). Through various examples, the “programmability, configurability, and scalability” of the proposed architecture are illustrated. Our approach is then compared to traditional programmable architectures with coefficient registers in terms of gate count, speed (delay), and other implementation-related issues. This comparison reveals that our architecture leads to less complex solutions with comparable performance. In general, this approach can be seen as an alternative offering reduced recurrent costs at the expense of potentially higher nonrecurrent costs, which makes it very attractive for high volume production
  • Keywords
    digital signal processing chips; field programmable gate arrays; reconfigurable architectures; DSPs; FGPAs; gate count; programmability; real-time requirements; scalable architecture; scan-based configurable architecture; signal processing; sliding window-based operations; Bandwidth; Circuits; Clocks; Costs; Digital signal processing; Field programmable gate arrays; Finite impulse response filter; Hardware; Logic; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/12.773798
  • Filename
    773798