DocumentCode :
3051678
Title :
Convergence analysis of a linear recursive algorithm for arma processes
Author :
Mayne, D.Q. ; Clark, J.M.C.
Author_Institution :
Imperial College of Science and Technology, London, UK
fYear :
1983
fDate :
- Dec. 1983
Firstpage :
585
Lastpage :
589
Abstract :
A recursive version of a three stage linear estimation scheme for ARMA processes has recently been proposed and tested. In the first stage an autoregressive model is fitted. In the second stage an ARMA model is fitted using the residuals obtained in the first stage. The data (output, input and residuals) are then filtered using the model obtained from the second stage and an improved ARMA model is fitted to the filtered data. In this note the almost sure convergence of the algorithm is established using a relatively simple procedure.
Keywords :
Algorithm design and analysis; Convergence; Educational institutions; Least squares methods; Parameter estimation; Polynomials; Process control; Random variables; Recursive estimation; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1983. The 22nd IEEE Conference on
Conference_Location :
San Antonio, TX, USA
Type :
conf
DOI :
10.1109/CDC.1983.269586
Filename :
4047617
Link To Document :
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