DocumentCode
1174507
Title
On rates of convergence of efficient detection criteria in signal processing with white noise
Author
Bai, Zhi-Dong ; Krishnaiah, Paruchuri R. ; Zhao, Lin-Cheng
Author_Institution
Dept. of Math. & Stat., Pittsburgh Univ., PA, USA
Volume
35
Issue
2
fYear
1989
fDate
3/1/1989 12:00:00 AM
Firstpage
380
Lastpage
388
Abstract
L.C. Zhao et al. (1986) proposed certain information-theoretic criteria for detection of the number of signals under an additive model with white noise when the noise variance is known or unknown. It was shown that these criteria are strongly consistent even when the underlying distribution is not necessarily Gaussian. Upper bounds on the probabilities of error detection are obtained here
Keywords
convergence; error detection; signal detection; signal processing; white noise; additive model; convergence rates; error detection probability; information-theoretic criteria; noise variance; signal detection; signal processing; upper bounds; white noise; Additive white noise; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Helium; Mathematics; Signal processing; Statistics; Upper bound; White noise;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.32132
Filename
32132
Link To Document