DocumentCode
1301982
Title
Linearization method for finding Cramer-Rao bounds in signal processing
Author
Gu, Huaijin
Author_Institution
dept. of Math. & Stat., Louisiana Tech. Univ., Ruston, LA, USA
Volume
48
Issue
2
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
543
Lastpage
545
Abstract
A new approach for finding and interpreting Cramer-Rao bounds in signal processing is presented in this correspondence. Using the linearization method in nonlinear models and the decoupling technique in linear models, the new method simplifies the burdensome derivations in finding Cramer-Rao bounds and offers insight to their interpretations
Keywords
linearisation techniques; parameter estimation; signal processing; Cramer-Rao bounds; decoupling technique; linear models; linearization method; nonlinear models; signal processing; Equations; Gaussian noise; Interference cancellation; Least squares approximation; Matched filters; Mathematics; Nonlinear filters; Signal processing; Statistics; Vectors;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.823979
Filename
823979
Link To Document