• DocumentCode
    1214690
  • Title

    Minimum entropy deconvolution and blind equalisation

  • Author

    Satorius, E.H. ; Mulligan, J.J.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    28
  • Issue
    16
  • fYear
    1992
  • fDate
    7/30/1992 12:00:00 AM
  • Firstpage
    1534
  • Lastpage
    1535
  • Abstract
    Relationships between minimum entropy deconvolution developed primarily for geophysics applications, and blind equalisation are pointed out. It is seen that a large class of existing blind equalisation algorithms are directly related to the scale-invariant cost functions used in minimum entropy deconvolution. Thus the extensive analyses of these cost functions can be directly applied to blind equalisation, including the important asymptotic results of Donoho (1981).
  • Keywords
    information theory; signal processing; asymptotic results; blind equalisation; data communication channels; equalisation algorithms; minimum entropy deconvolution; scale-invariant cost functions;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19920974
  • Filename
    153230