Sampling techniques provide a practical means of obtaining cross-correlation functions. In this paper, the correlation function is described by sums of the form Z = N 1 X.YK. A general expression is derived for the probability density function of the random variable Z under the condition that X. and Y. are stationary, jointly Gaussian random processes with nonzero means and unit variances.