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
fDate :
12/1/1991 12:00:00 AM
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;
Journal_Title :
Radar and Signal Processing, IEE Proceedings F