• DocumentCode
    2606994
  • Title

    Subset averaged median estimators

  • Author

    Suoranta, Risto ; Estola, Kari-Pekka

  • Author_Institution
    Tech. Res. Centre of Finland, Oulu, Finland
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    934
  • Abstract
    Alternative interpretations and realizations for the subset averaged median estimators are discussed. Maximum noise suppression performance of the new filter class is achieved using the order statistic (OS)-filter realization. An alternative structure is obtained realizing the new filters directly in the sample domain. This leads to highly parallel realization of the new filters. The time domain interpretation of the subset averaging method allows adjustment of the time domain properties of the filters. The time domain weighting of the data within the window can be achieved using the samples to be weighted more often in the subsets than other samples. Midpoint weighting preserves the edges exactly, whereas uniform weighting results in gradual transition
  • Keywords
    estimation theory; filtering theory; interference suppression; median filters; parallel processing; edge preservation criteria; highly parallel realization; midpoint weighting; noise suppression performance; nonlinear filters; order statistic (OS)-filter realization; sample domain; subset averaged median estimators; subset averaging method; time domain properties; time domain weighting; uniform weighting; Automation; Digital signal processing; Image processing; Information filtering; Information filters; Internet; Laboratories; Signal analysis; Signal processing; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.393876
  • Filename
    393876