• DocumentCode
    294756
  • Title

    Statistical study of reflection coefficients derived from a random AR process

  • Author

    Tourneret, Jean-Yues ; Lacaze, Bernard

  • Author_Institution
    GAPSE, ENSEEIHT, Toulouse, France
  • Volume
    3
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    1709
  • Abstract
    Being linked by non-linear relations, the AR parameters and reflection coefficients cannot both be Gaussian. However, a statistical study can show that these two sets of parameters are Gaussian asymptotically. The aim of this paper is to show that the convergence rate of the reflection coefficient distribution to the Gaussian one depends on the position of the AR model poles in the unit circle. An analysis of the reflection coefficient Taylor expansion around the AR parameters is proposed to determine this convergence rate
  • Keywords
    Gaussian distribution; autoregressive processes; convergence of numerical methods; random processes; signal processing; statistical analysis; AR model poles; AR parameters; Gaussian distribution; Taylor expansion; convergence rate; nonlinear relations; random AR process; reflection coefficient distribution; reflection coefficients; signal processing; statistical study; unit circle; Convergence; Estimation theory; Gaussian processes; Parameter estimation; Pattern recognition; Quantization; Reflection; Signal processing; Statistics; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479935
  • Filename
    479935