• 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