DocumentCode
388469
Title
Fast recursive AR estimation from an overdetermined system of extended Yule Walker equations
Author
Moses, Randolph L.
Author_Institution
Virginia Polytechnic Institute and State University, Blacksburg, VA
Volume
8
fYear
1983
fDate
30407
Firstpage
1110
Lastpage
1113
Abstract
This paper presents a fast recursive least squares algorithm for estimating the AR coefficients in an AR or ARMA model. The algorithm is based on solving an overdetermined system of "t" Extended Yule Walker equations for the "p" AR coefficients. Experimental results indicate that the proposed algorithm is able to provide improved estimates over those of similar recursive algorithms, at a computational cost of an additional 2t multiplies and 2t adds.(1)
Keywords
Autocorrelation; Costs; Density functional theory; Equations; Least squares approximation; Nonlinear filters; Recursive estimation; State estimation; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type
conf
DOI
10.1109/ICASSP.1983.1171983
Filename
1171983
Link To Document