Digital simulation of multidimensional Gauss-Markov random processes

A general technique is presented to simulate on a digital computer a multidimensional stationary or nonstationary Gauss-Markov random process of specified autocorrelation function. The choice of a suitable time step is also discussed. The results are of interest in the simulation studies of systems which are forced by random inputs, e.g, control and communication systems.