Abstract
The properties of discrete Markov processes are related to those of analogous linear, time-invariant, sampled-data systems. Methods are given for the systems-analysis solution and interpretation of problems and theorems relating to such Markov processes. Correlation functions of signals generated by Markov processes are determined. Transform procedures, flow graphs, and signal-flow ideas play an important role in these studies.

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