• DocumentCode
    3073366
  • Title

    Adaptive algorithms that restore signal properties

  • Author

    Treichler, John

  • Author_Institution
    Cornell University, Ithaca, NY
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    This paper introduces the concept of designing adaptive filtering algorithms to exploit the presence of some invariant property possessed by a signal of interest. If this invariant property is disturbed by the interference or dispersion which degrades the signal´s quality, and if the disturbance can be sensed, then it can be used to guide an adaptive algorithm. Certain analytic requirements on this type of algorithm are discussed as well as their relation to well-known least squares and MSE algorithms.
  • Keywords
    Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Degradation; Digital filters; Finite impulse response filter; Iterative algorithms; Least squares methods; Signal restoration; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172530
  • Filename
    1172530