Generation of a sampled Gaussian time series having a specified correlation function

A computationally convenient method is presented for simulating a sequence of sampled values of a stationary Gaussian process having a specified correlation function or power spectrum.
Z
-transform theory is applied to provide a simple recursive formula for generating the values from a set of independent Gaussian random variables.