• DocumentCode
    3716284
  • Title

    The class of generalized hampel filters

  • Author

    Ronald K. Pearson;Yrjö Neuvo;Jaakko Astola;Moncef Gabbouj

  • Author_Institution
    DataRobot. Boston, MA, USA
  • fYear
    2015
  • Firstpage
    2501
  • Lastpage
    2505
  • Abstract
    The standard median filter has only one tuning parameter - the width of the moving window on which it is based - and this has led to the development of a number of extremely useful extensions, including the recursive median filter, weighted median filters, and recursive weighted median filters. The Hampel filter is a member of the class of decision filters that, as we note here, may be viewed as another generalization of the median filter. This paper exploits this relationship, defining and briefly exploring the class of generalized Hampel filters, obtained by applying the median filter extensions listed above.
  • Keywords
    "Standards","Europe","Distortion","Filtering theory","Tuning","White noise"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2015 23rd European
  • Electronic_ISBN
    2076-1465
  • Type

    conf

  • DOI
    10.1109/EUSIPCO.2015.7362835
  • Filename
    7362835