Computer generation of correlated Gaussian random variables

This paper Presents a means of generating a set of N correlated Gaussian random variables from N or fewer independent Gaussian random variables. In computer generation of pseudorandom variables, this technique sometimes has computational advantages over the more straightforward inverse Gram-Schmidt procedure. As an example, application of the technique in simulation of a pulse frequency modulation (PFM) receiver is discussed.