• DocumentCode
    1387128
  • Title

    The real-complex normal distribution

  • Author

    Van Den Bos, A.

  • Author_Institution
    Dept. of Appl. Phys., Delft Univ. of Technol., Netherlands
  • Volume
    44
  • Issue
    4
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1670
  • Lastpage
    1672
  • Abstract
    An expression is derived for the distribution of a mixture of real and complex normal variates. The asymptotic distribution of the resulting real-complex maximum-likelihood estimates is the real-complex normal distribution derived. The covariance matrix of this distribution is particularly important. It is the asymptotic covariance matrix for maximum-likelihood estimates and the Cramer-Rao lower bound on the variance of the real-complex estimates in general. From this covariance matrix, the variance of the reconstructed complex-valued exit wave then follows using the pertinent propagation formulas. The resulting expressions show the dependence of the variance on the free microscope parameters used for experimental design
  • Keywords
    covariance matrices; design of experiments; maximum likelihood estimation; normal distribution; signal reconstruction; Cramer-Rao lower bound; asymptotic covariance matrix; asymptotic distribution; experimental design; free microscope parameters; propagation formulas; real-complex maximum-likelihood estimates; real-complex normal distribution; reconstructed complex-valued exit wave; Background noise; Covariance matrix; Gaussian distribution; Gaussian noise; Image reconstruction; Maximum likelihood estimation; Parameter estimation; Statistics; Testing; White noise;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.681349
  • Filename
    681349