DocumentCode :
915422
Title :
An upper bound for probability of error related to a given decision region in N-dimensional signal set (Corresp.)
Author :
Poscetti, G.
Volume :
17
Issue :
2
fYear :
1971
fDate :
3/1/1971 12:00:00 AM
Firstpage :
203
Lastpage :
206
Abstract :
An upper bound for the probability of error related to a given decision region, in an arbitrary 
-dimensional signal set transmitted over a coherent Gaussian white noise channel, is described here. This bound is valid for any number of dimensions and for any closed decision region that satisfies a very weak condition.
-dimensional signal set transmitted over a coherent Gaussian white noise channel, is described here. This bound is valid for any number of dimensions and for any closed decision region that satisfies a very weak condition.Keywords :
Gaussian processes; Signal detection; Gaussian noise; Hypercubes; Probability; Upper bound; White noise;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1971.1054608
Filename :
1054608
Link To Document :
