• DocumentCode
    2607035
  • Title

    Adaptive filters and multichannel signal processing

  • Author

    Venetsanopoulos, A.N. ; Plataniotis, K.N.

  • Author_Institution
    Toronto Univ., Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    Processing multichannel signals using digital signal processing techniques has received increased attention lately due to its importance in applications, such as multimedia technologies and telecommunications. The perspective of the topic offered here is one that comes primarily from work done in the field of multichannel image processing. The adaptive filtering techniques discussed in the paper relate to image processing with the emphasis placed primarily on filtering algorithms based on fuzzy logic concepts, multidimensional scaling, and order statistics-based designs. The strong potential of adaptive filters for multichannel image processing is illustrated with several examples
  • Keywords
    adaptive filters; filtering theory; fuzzy logic; image colour analysis; image processing; multidimensional signal processing; adaptive filtering techniques; adaptive filters; color image processing; digital signal processing techniques; filtering algorithms; fuzzy logic concepts; multichannel image processing; multichannel signal processing; multidimensional scaling; multimedia; order statistics-based designs; telecommunications; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Digital signal processing; Filtering algorithms; Fuzzy logic; Image processing; Multidimensional signal processing; Multidimensional systems; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000
  • Conference_Location
    Lake Louise, Alta.
  • Print_ISBN
    0-7803-5800-7
  • Type

    conf

  • DOI
    10.1109/ASSPCC.2000.882462
  • Filename
    882462