DocumentCode :
1106363
Title :
An efficient and order-recursive algorithm for estimating stationary ARMA models
Author :
Yarman-Vural, Fatos
Author_Institution :
Marmara Research Institute, Marmara, Turkey
Volume :
33
Issue :
4
fYear :
1985
fDate :
8/1/1985 12:00:00 AM
Firstpage :
1054
Lastpage :
1058
Abstract :
A new Levinson-type recursive algorithm that solves for the coefficients of the pth-order ARMA model using O(p2) operations is proposed. The algorithm uses the fact that in the least squares optimal equation when the system is stationary, the coefficient matrix is "close" to the Toeplitz form. The measures of closeness of a matrix to Toeplitz form is determined by the concept of displacement rank.
Keywords :
Covariance matrix; Digital filters; Displacement measurement; Equations; Least squares approximation; Least squares methods; Parameter estimation; Recursive estimation; Signal processing algorithms; Stability;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1985.1164631
Filename :
1164631
Link To Document :
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