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
Link To Document