DocumentCode
3274177
Title
A statistical approach to set-membership identification
Author
Nagaraj, Shirish ; Huang, Yih-Fang
Author_Institution
Bell Labs., Lucent Technol., Whippany, NJ, USA
fYear
2001
fDate
2001
Firstpage
42
Abstract
Set-membership identification (SMI) is cast in the statistical framework of M-estimation. Generalized adaptive algorithms are developed and it is shown that SMI algorithms are special cases of these. The statistical performance of SMI algorithms is also analyzed
Keywords
information theory; parameter estimation; set theory; statistical analysis; M-estimation; generalized adaptive algorithms; parameter estimation; set-membership identification; statistical approach; Adaptive algorithm; Algorithm design and analysis; Convergence; Cost function; Estimation error; Least squares approximation; Performance analysis; Resonance light scattering; Statistical analysis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-7123-2
Type
conf
DOI
10.1109/ISIT.2001.935905
Filename
935905
Link To Document