• DocumentCode
    2177370
  • Title

    Selection filters for signal restoration

  • Author

    Hardie, Russell C. ; Barner, Kenneth E. ; Sarhan, Ahmad

  • Author_Institution
    Dept. of Electr. Eng., Dayton Univ., OH, USA
  • fYear
    1994
  • fDate
    23-27 May 1994
  • Firstpage
    827
  • Abstract
    A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters
  • Keywords
    filtering and prediction theory; signal processing; RCRS filters; nonlinear filters; observation set; order statistic; output rank; rank conditioned rank selection filters; selection filters; signal restoration; Educational institutions; Information analysis; Information filtering; Information filters; Nonlinear filters; Signal restoration; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-1893-5
  • Type

    conf

  • DOI
    10.1109/NAECON.1994.332953
  • Filename
    332953
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2177370