Sampling designs for estimation of a random process

Abstract

This paper deals with a given problem of estimating a random process from a finite number of observations, which arises in statistical communication theory and signal processing as well as in geology and environmental science. A given random process is sampled at a finite number of appropriately designed points. On the bases of these observations, it is desired to estimate the values of the process at the unsampled points. The performance is measured by an integrated mean square error.

Document Type

Conference Proceeding

DOI

https://doi.org/10.1109/ISIT.1993.748644

Publication Date

1-1-1993

Journal Title

Proceedings of the 1993 IEEE International Symposium on Information Theory

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