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
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