• DocumentCode
    3019449
  • Title

    A principal component approach for adaptive ARMA model identification

  • Author

    Heidarian, Kambiz ; Hu, Ya

  • Author_Institution
    Southern Methodist University, Dallas, Texas
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    999
  • Lastpage
    1002
  • Abstract
    This paper presents a numerically stable method for adaptive ARMA model parameter identification. Our approach derives the data adaptive formulation of a novel principal component based system identification method proposed by K.S. Arun. It is shown that the new method exhibits significant performance gain.
  • Keywords
    Adaptive filters; Covariance matrix; Parameter estimation; Performance gain; Signal analysis; Speech analysis; Speech processing; Speech recognition; Transfer functions; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169815
  • Filename
    1169815
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3019449