• DocumentCode
    3204201
  • Title

    VLSI architectures for recursive and multiple-window order statistic filtering

  • Author

    Hakami, M. ; Warter, P. ; Boncelet, C. ; Nassimi, D.

  • Author_Institution
    Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    Based on a recently developed class of sorting networks, new VLSI architectures suitable for order statistic filtering are developed. The major advantage of these architectures is minimal response-time regardless of the number of stages in the pipeline; an effective characteristic for implementing recursive order statistic filters. The devised word-parallel architecture is the only one introduced to date that is capable of operating in both recursive and standard modes with optimal throughput. The proposed architectures are also suitable for implementing order statistic filters with multiple overlapping windows
  • Keywords
    VLSI; digital filters; parallel architectures; signal processing; statistical analysis; VLSI architectures; minimal response-time; multiple-window order statistic filtering; recursive order statistic filters; sorting networks; word-parallel architecture; Computer architecture; Digital filters; Digital signal processing; Filtering; Pipeline processing; Random variables; Sorting; Statistics; Throughput; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1992. Proceedings., Sixth International
  • Conference_Location
    Beverly Hills, CA
  • Print_ISBN
    0-8186-2672-0
  • Type

    conf

  • DOI
    10.1109/IPPS.1992.223030
  • Filename
    223030