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.
Output Probability Density Functions for Cross Correlators Utilizing Sampling Techniques
IEEE Transactions on Aerospace and Electronic Systems ; AES-10 , 1 ; 78-81
1974-01-01
1030749 byte
Article (Journal)
Electronic Resource
English
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