• DocumentCode
    1451224
  • Title

    Nonrecursive and recursive stack filters and their filtering behavior

  • Author

    Wendt, Peter D.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktwon Heights, NY, USA
  • Volume
    38
  • Issue
    12
  • fYear
    1990
  • fDate
    12/1/1990 12:00:00 AM
  • Firstpage
    2099
  • Lastpage
    2107
  • Abstract
    It is shown that stack filters that are based on symmetric threshold functions and preserve median-filter roots make all inputs converge to roots or to cycles of period two. This is an important result, since these filters have useful roots (the median-filter roots), and they are time symmetric, i.e. time reversal of an input sequence of such a filter is equivalent to time reversal of the output sequence of the filter. In order to construct stack filters without cycles, the recursive stack filter, which is an extension of the recursive median filter, is introduced. It is shown that a recursive stack filter has the same roots as the corresponding nonrecursive stack filter; also, given a nonrecursive filter from the class mentioned above, the corresponding recursive filter will make every input signal of finite converge to a root in a finite number of passes
  • Keywords
    digital filters; filtering and prediction theory; digital filters; filtering; input sequence; input signal; median-filter roots; nonrecursive stack filter; output sequence; recursive median filter; recursive stack filters; symmetric threshold functions; time reversal; time symmetric; Convergence; Digital filters; Filtering; Image processing; Noise shaping; Nonlinear filters; Shape; Signal analysis; Signal processing; Statistics;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.61536
  • Filename
    61536