Title :
Output Probability Density Functions for Cross Correlators Utilizing Sampling Techniques
Author :
Andrews, Larry C.
Author_Institution :
Florida Technological University Orlando, Fla. 32816
Abstract :
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 = begin{equation*}Z = Sigma^{N}_{j=1}X_{j}Y_{j}end{equation*}. A general expression is derived for the probability density function of the random variable Z under the condition that Xj and Yj are stationary, jointly Gaussian random processes with nonzero means and unit variances.
Keywords :
Additive noise; Correlators; Density functional theory; Gaussian noise; Genetic expression; Probability density function; Random processes; Random variables; Sampling methods; Signal analysis;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1974.307966
