Fast Algorithms of Stochastic Process Simulation in Context of Correlation Theory of Signals

Fast algorithms of simulation of stochastic processes with specified spectral and correlation characteristics are considered, which are intended to reproduce a variety of the interference and noise in digital models of the complex data-and-control and computing real-time systems. The complexity of the algorithms computing, their accuracy and statistical features are analyzed. Theoretical research is illustrated by examples and confirmed by simulation.