Expected value analysis of digital networks with memory

The expected values of the binary signals within a digital network have a number of uses in the design of these networks. These expected value "signals" may be obtained by computationally expensive Monte Carlo methods. Alternately, probabilistic models of digital network elements may be constructed to allow the calculation of expected value information far more efficiently. The treatment of combinational logic networks was carried out in [1]. Here we probabilistically model flip flops and develop an expected value analysis for simple digital feedback networks.