• DocumentCode
    1275812
  • Title

    Exact equivalence of the Steiglitz-McBride iteration and IQML

  • Author

    McClellan, J.H. ; Lee, D.

  • Author_Institution
    Sch. of Electr. Eng., Georgia, Inst. of Technol., Atlanta, GA, USA
  • Volume
    39
  • Issue
    2
  • fYear
    1991
  • fDate
    2/1/1991 12:00:00 AM
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    The exact equivalence of the Steiglitz-McBride mode-1 algorithm and the iterative quadratic maximum likelihood algorithm (IQML) is demonstrated. Other methods, published earlier by L. L. Scharf et al. (1986) and by A.G. Evans and R. Fischl (1973), are also known to give the same equations and answer as IQML. Hence, all these methods are equivalent to the Steiglitz-McBride iteration. Since the IQML method was originally formulated to solve a multiple measurement case, an extended version of the Steiglitz-McBride mode-1 algorithm, applicable to the multiple measurement case, is also stated and shown to be equivalent to the general form of IQML
  • Keywords
    iterative methods; signal processing; Steiglitz-McBride iteration; Steiglitz-McBride mode-1 algorithm; iterative quadratic maximum likelihood algorithm; multiple measurement case; signal processing; Conferences; Finite impulse response filter; Iterative algorithms; Maximum likelihood estimation; Signal processing; Signal processing algorithms; Signal synthesis; Speech processing; Speech synthesis; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.80841
  • Filename
    80841