Sampling series approximation of continuous weak sense stationary processes

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The Shannon sampling theorem is proved for weak sense stationary stochastic processes using the theory of integral functions of exponential type. Estimates together with rates of convergence are given for the error which arises when a non-bandlimited random signal function is approximated by its sampling series expansion. The construction of certain generalized sampling series leads to a better behaviour of approximation.

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