Title :
Estimation via compressed information
Author :
Zhang, Zhen ; Berger, Toby
Author_Institution :
Dept. of Math., Bielefeld Univ., West Germany
fDate :
3/1/1988 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
