• DocumentCode
    1031696
  • Title

    New lattice realisation of the predictive least-squares order selection criterion

  • Author

    Nandi, A.K. ; Chambers, J.A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • Volume
    138
  • Issue
    6
  • fYear
    1991
  • fDate
    12/1/1991 12:00:00 AM
  • Firstpage
    545
  • Lastpage
    550
  • Abstract
    The initialisation procedure used within the implementation of the predictive least-squares (PLS) order selection criterion is studied. From this study emerges the motivation for a new growing memory covariance least-squares lattice implementation of the PLS order selection criterion (GMCPLS), which is realised in a computationally efficient lattice structure. By extensive simulation of a wide range of generated AR time-series, the true model order hit-rate is shown to be generally higher than that for a prewindowed implementation of the PLS algorithm
  • Keywords
    filtering and prediction theory; least squares approximations; signal processing; spectral analysis; time series; AR time-series; autoregressive model; growing memory covariance least-squares lattice; initialisation procedure; predictive least-squares order selection criterion; signal processing; spectral analysis; true model order hit-rate;
  • fLanguage
    English
  • Journal_Title
    Radar and Signal Processing, IEE Proceedings F
  • Publisher
    iet
  • ISSN
    0956-375X
  • Type

    jour

  • Filename
    165572