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.


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    Title :

    Output Probability Density Functions for Cross Correlators Utilizing Sampling Techniques


    Contributors:


    Publication date :

    1974-01-01


    Size :

    1030749 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English