DocumentCode
1116566
Title
Comments on "Covariance shaping least-squares estimation"
Author
Zhou, Tong
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
52
Issue
10
fYear
2004
Firstpage
2938
Lastpage
2941
Abstract
A routine linear algebra-based derivation is provided for the optimal estimate in a parametric estimation problem, which is a little more general than that discussed in the above paper. Compared with the procedure adopted by Eldar and Oppenheim, it is more direct and simple and, therefore, easier to be understood. Moreover, the optimal estimate is expressed in a more computationally attractive form, and the results of Eldar and Oppenheim can be regarded as a special case.
Keywords
covariance analysis; least squares approximations; linear algebra; parameter estimation; covariance shaping least-square estimation; parametric estimation; routine linear algebra-based derivation; Adaptive filters; Automation; Covariance matrix; Linear algebra; Linear matrix inequalities; Null space; Numerical simulation; Symmetric matrices;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.834262
Filename
1337260
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