• DocumentCode
    2866510
  • Title

    Multi-dimensional median filtering for processing network and spectrum analyzer information

  • Author

    Braun, R.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Cape Town Univ., South Africa
  • fYear
    1989
  • fDate
    32682
  • Firstpage
    85
  • Lastpage
    89
  • Abstract
    The author describes the use of median filtering to enhance the readability of the trace information of such instruments as network analyzers and spectrum analyzers. A class of mildly recursive median filters (MRMFs) is described, and application to a spectrum analyzer is demonstrated. The results show that a 41% improvement in Gaussian noise, using an MRMF with a window size of three samples, is possible. The MRMF turns out to have considerably better performance for very small window sizes than nonrecursive MFs
  • Keywords
    multidimensional digital filters; network analysers; picture processing; random noise; spectral analysers; Gaussian noise; digital filters; image processing; mildly recursive median filters; network analyzers; spectrum analyzer; trace information readability; Band pass filters; Cities and towns; Filtering algorithms; Frequency; Gaussian noise; Information analysis; Information filtering; Information filters; Low pass filters; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing, 1989. COMSIG 1989. Proceedings., Southern African Conference on
  • Conference_Location
    Stellenbosch
  • Print_ISBN
    0-87942-713-2
  • Type

    conf

  • DOI
    10.1109/COMSIG.1989.129022
  • Filename
    129022