DocumentCode
1506086
Title
A new proof for the stability of equation-error models
Author
Lopez-Valcarce, Roberto ; Dasgupta, Soura
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Volume
6
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
148
Lastpage
150
Abstract
Some previous works have shown that under an autoregressive constraint on the input signal, least-squares equation-error methods provide stable models of the estimated transfer function. We present an alternative proof of this fact which allows one to increase the order of the autoregressive input by one, for both the monic and unit-norm approaches.
Keywords
autoregressive processes; error analysis; least squares approximations; numerical stability; signal processing; autoregressive constraint; autoregressive input; equation-error models stability; estimated transfer function; input signal; least-squares equation-error methods; monic constraint; stable models; unit-norm approach; Cities and towns; Computer aided software engineering; Cost function; Equations; Modeling; Polynomials; Stability; Transfer functions;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.763149
Filename
763149
Link To Document