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 :
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