DocumentCode
1451331
Title
Generalized signal-to-noise ratio and its estimation
Author
Khattree, Ravindra ; Gupta, Rameshwar D.
Author_Institution
B.F. Goodrich Co., Avon Lake, OH, USA
Volume
38
Issue
12
fYear
1990
fDate
12/1/1990 12:00:00 AM
Firstpage
2136
Lastpage
2139
Abstract
A generalized realized signal-to-noise ratio (generalized RSNR) is defined for the situation where there are r , p -dimensional, real, or complex valued signals and a transmitted message is to be classified as either one of them or as pure white noise. Certain estimators of generalized RSNR are suggested under various loss functions. The closest estimator in the sense of Pitman is obtained. Finally, a lower confidence bound is provided
Keywords
signal processing; complex valued signals; generalised SNR; generalised signal to noise ratio; lower confidence bound; real valued signals; signal processing; transmitted message; white noise; Computer science; Councils; Eigenvalues and eigenfunctions; Lakes; Niobium; Signal to noise ratio; Statistics; White noise;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.61540
Filename
61540
Link To Document