• DocumentCode
    1109477
  • Title

    A complex adaptive algorithm for IIR filtering

  • Author

    Shynk, John J.

  • Author_Institution
    Stanford University, Stanford, CA, USA
  • Volume
    34
  • Issue
    5
  • fYear
    1986
  • fDate
    10/1/1986 12:00:00 AM
  • Firstpage
    1342
  • Lastpage
    1344
  • Abstract
    This correspondence generalizes the Gauss-Newton algorithm [1] for adaptive IIR filters to include complex coefficients. The resulting algorithm simultaneously updates the real and imaginary parts of the filter coefficients to minimize the average squared estimation error. It has application in frequency-domain adaptive IIR filtering [2] where the signals and filter coefficients are complex.
  • Keywords
    Adaptive algorithm; Adaptive filters; Computational modeling; Computer simulation; Covariance matrix; Delay; Filtering; Frequency estimation; IIR filters; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1986.1164936
  • Filename
    1164936
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1109477