• DocumentCode
    3071647
  • Title

    Nonstationary learning characteristics of least squares adaptive estimation algorithms

  • Author

    Ling, Fuyun ; Proakis, John G.

  • Author_Institution
    Northeastern University, Boston, MA
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    This paper provides a quantitative analysis of the tracking characteristics of least squares algorithms. A comparison is made with the tracking performance of the LMS algorithm. Other algorithms that are similar to least squares algorithms, such as the gradient lattice algorithm and the Gram-Schmidt orthogonalization algorithm are also considered. Simulation results are provided to reinforce the analytical results and conclusions.
  • Keywords
    Adaptive algorithm; Adaptive estimation; Adaptive filters; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Least squares approximation; Optimized production technology; Stability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172437
  • Filename
    1172437
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3071647