DocumentCode :
1267899
Title :
Derivation of Craig´s formula for Gaussian probability function
Author :
Tellambura, C. ; Annamalai, A.
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
Volume :
35
Issue :
17
fYear :
1999
fDate :
8/19/1999 12:00:00 AM
Firstpage :
1424
Lastpage :
1425
Abstract :
A recent work provides two proofs for Craig´s formula, which is an integral formula for the Gaussian probability density function. It also highlights the fact that the original proof of the Craig formula is somewhat unclear. The authors of the work provide two proofs, one based on the Stieltjes transform of a Gaussian pulse and another based on the moment generation function (MGF) of a unit Gaussian random variable (GRV). Another integral formula for Q(x) based on the characteristic function (CHF) of a unit GRV is also provided. This formula can be applied to the analysis of coherent predetection equal-gain combining diversity receivers
Keywords :
Gaussian distribution; diversity reception; error statistics; signal detection; Craig´s formula; Gaussian probability density function; Stieltjes transform; characteristic function; coherent predetection; equal-gain combining diversity receivers; integral formula; moment generation function; unit Gaussian random variable;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19990949
Filename :
803580
Link To Document :
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