• DocumentCode
    2391644
  • Title

    Low-power programmable signal processing

  • Author

    Hasler, Paul

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2005
  • fDate
    20-24 July 2005
  • Firstpage
    413
  • Lastpage
    418
  • Abstract
    This paper presents the potential of using programmable analog signal processing techniques for impacting low-power portable applications like imaging, audio processing, and speech recognition. The range of analog signal processing functions available results in many potential opportunities to incorporate these analog signal processing systems with digital signal processing systems for improved overall system performance. Programmable, dense analog techniques enable these approaches, based upon programmable transistor approaches. We show experimental evidence for the factor of 1000 to 10,000 power efficiency improvement for programmable analog signal processing compared to custom digital implementations in vector matrix multipliers (VMM), CMOS imagers with computation on the pixel plane with high fill factors, and large-scale field programmable analog arrays (FPAA), among others.
  • Keywords
    digital signal processing chips; field programmable analogue arrays; low-power electronics; CMOS imagers; audio processing; digital signal processing; field programmable analog arrays; high fill factors; imaging application; low-power programmable signal processing; programmable analog signal processing; programmable transistor; speech recognition; vector matrix multipliers; Analog computers; Array signal processing; CMOS process; Digital signal processing; Field programmable analog arrays; Large-scale systems; Pixel; Signal processing; Speech recognition; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System-on-Chip for Real-Time Applications, 2005. Proceedings. Fifth International Workshop on
  • Print_ISBN
    0-7695-2403-6
  • Type

    conf

  • DOI
    10.1109/IWSOC.2005.83
  • Filename
    1530982