• DocumentCode
    1836252
  • Title

    Segmentation strategies for low power implementation of digital filters

  • Author

    Arslan, T. ; Erdogan, A.T.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK
  • Volume
    1
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    359
  • Abstract
    This paper describes a generic algorithm for low power implementation of digital filers. The algorithm reduces power through a reduction in the amount of switched capacitance within the multiplier section of the filter. This reduction in turn is achieved through the segmentation of a given coefficient into two primitive sub-components. The algorithm is suitable for prototyping as an intellectual property core with high degree of parameterisability. Hence making the core extremely valuable for rapid system-on-chip implementation for multimedia/wireless applications. The paper describes the algorithm, its adaptability to different representation formats, and provides results which show significant power saving with different wordlengths and filter orders. The paper also indicates overheads due to the additional shift operations. Results indicate power savings in the range of 27-85% even after including the effects of these overheads.
  • Keywords
    CMOS digital integrated circuits; FIR filters; digital filters; digital signal processing chips; low-power electronics; CMOS DSP systems; FIR filters; additional shift operations; digital filters; generic algorithm; intellectual property core; low power implementation; multimedia applications; power savings; primitive sub-components; rapid system-on-chip implementation; segmentation strategies; switched capacitance reduction; wireless applications; Capacitance; Digital filters; Digital signal processing; Fast Fourier transforms; Filtering algorithms; Finite impulse response filter; Hardware; Prototypes; Signal processing algorithms; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.832352
  • Filename
    832352