This note presents a procedure for estimating the power spectral density equivalent to that for the nonstationary process of sampling at a fixed rate from a population described by zero mean and known standard deviation, typical of digital computer simulation of noise in analogue systems. The stationary equivalent to the process is generated by forming a super-ensemble with random time origin and taking the expected value in time of the nonstationary correlation function. Examples are presented for three often-used digital noise-generation techniques.
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