Random Processes with Applications to Information Theory (original) (raw)

2000

Abstract

The "covariance" of complex random variables and processes, when defined consistently with the corresponding notion for real random variables, is shown to be determined by the usual (complex) covariance together with a quantity called the pseudo-covariance. A characterization of uncorrelatedness and wide-sense stationarity in terms of covariance and pseudo- covariance is given. Complex random variables and processes with a vanishing

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