Realization from covariances and Markov parameters of a discrete-time periodic system

The main contribution of this paper is an algorithm to find a minimal stable state-space realization of a linear discrete-time periodic system from a finite window of (normalized) covariances and Markov parameters. This contribution to the stochastic realization problem for periodic systems can be used for the identification of cyclostationary processes.