Sampling designs for estimation of a random process
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.
Su, Yingcai, and Stamatis Cambanis. "Sampling Designs for Estimation of a Random Process." In Proceedings. IEEE International Symposium on Information Theory, pp. 328-328. IEEE, 1993.
Proceedings of the 1993 IEEE International Symposium on Information Theory