DocumentCode :
1098671
Title :
Estimating distortion in a binary symmetric channel consistently
Author :
Simons, Gordon
Author_Institution :
Dept. of Stat., North Carolina Univ., Chapel Hill, NC, USA
Volume :
37
Issue :
5
fYear :
1991
fDate :
9/1/1991 12:00:00 AM
Firstpage :
1466
Lastpage :
1470
Abstract :
The problem of estimating the distortion in a binary symmetric channel is examined. A consistent estimator is described, and its performance is assessed numerically. The estimator is based solely on the information contained in the channel output. The channel input is viewed as an unobservable nuisance parameter that satisfies a weak basic assumption that (1) makes the problem of estimation viable, and (2) seems swell suited for use in an imaging context, under which the input is viewed as the true image and the output is viewed as the observed image
Keywords :
information theory; parameter estimation; telecommunication channels; binary symmetric channel; consistent estimator; distortion estimation; imaging context; unobservable nuisance parameter; Bayesian methods; Context modeling; Distortion measurement; Entropy; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.133270
Filename :
133270
Link To Document :
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