DocumentCode :
919076
Title :
Empirical Bayes approach to 
-ary detection (Corresp.)
-ary detection (Corresp.)Author :
Chen, Yen-Bin
Volume :
19
Issue :
2
fYear :
1973
fDate :
3/1/1973 12:00:00 AM
Firstpage :
237
Lastpage :
239
Abstract :
An empirical Bayes procedure is introduced for -ary detection in a statistically undefined noise background. The Bayes decision rule, which depends on a set of nuisance parameters, is formed first from sample qualitative information so that the requirement of known noise distribution can be relaxed. The rule is then approximated by estimating the nuisance parameters. The resulting empirical procedure possesses the desirable property of consistency and is simple to implement.
-ary detection in a statistically undefined noise background. The Bayes decision rule, which depends on a set of nuisance parameters, is formed first from sample qualitative information so that the requirement of known noise distribution can be relaxed. The rule is then approximated by estimating the nuisance parameters. The resulting empirical procedure possesses the desirable property of consistency and is simple to implement.Keywords :
Bayes procedures; Signal detection; Background noise; Detectors; Intensity modulation; Laser noise; Parameter estimation; Random variables; Signal detection; Signal processing; Statistical distributions; Testing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1973.1054967
Filename :
1054967
Link To Document :
