DocumentCode
1027177
Title
Estimation via compressed information
Author
Zhang, Zhen ; Berger, Toby
Author_Institution
Dept. of Math., Bielefeld Univ., West Germany
Volume
34
Issue
2
fYear
1988
fDate
3/1/1988 12:00:00 AM
Firstpage
198
Lastpage
211
Abstract
Some results from classical estimation theory are extended to the case in which data must be communicated from several places where observations are made to the place where the estimate is generated. Particular emphasis is placed on determining how the variance of an unbiased estimator depends on the communication rates. Explicit result are given for Gaussian sources
Keywords
data compression; estimation theory; information theory; Gaussian sources; communication rates; compressed information; estimation theory; unbiased estimator; Covariance matrix; Decision making; Encoding; Estimation theory; Mathematics; Parameter estimation; Random variables; Reactive power; Testing; Veins;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.2629
Filename
2629
Link To Document