Title :
Finite data lattice algorithms for instrumental variable recursions
Author_Institution :
Harvard University, Cambridge, MA
fDate :
10/1/1983 12:00:00 AM
Abstract :
The last few years have seen a rapid development of the so-called lattice algorithms for the fast solution of finite data least-squares problems. While a fast algorithm has been given for finite data instrumental variable recursions, as yet no finite data lattice schemes have been given. In this work, a lattice algorithm is derived for a finite data instrumental variable recursion, and its use in both ARMA and ARX time series models is indicated.
Keywords :
Autocorrelation; Autoregressive processes; Equations; Instruments; Lattices; Nonlinear filters; Parameter estimation; Signal processing algorithms; White noise; Yield estimation;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1983.1164182