In this paper we provide properties of moments of matrix exponential

distributions and joint moments of matrix exponential processes. Based on

the provided properties, an algorithm is presented to compute any finite

dimensional moments of these processes based on a set of required (low

order) moments. This algorithm does not require the computation of any

representation of the given process. We present some related examples to

demonstrate the potential use of the properties of moments.