Clock Controlled Generator Control Probability Model The Nature Of The Output Sequence

Based on the characteristic structure of clock controlled combined generator, this paper construct probability model of the stop-and-go generator, KMM combined generator, KM1M2 combined generator, additive combined generator, as well as the combined generator constructed by three "stop and go" generators. By using the probability theory, measurable theory and random process comprehensively, the properties of the output sequences of the combined generators mentioned above are studied, and the finite dimension union distributions of those output sequences are also presented, followed by the mathematical characteristics of those output sequences. Our results show that the rate of correlation among the random variables of those output sequences are low although they are not independent; in addition, the output sequences of those combined generators are homogeneous Markov chains which are strictly stationary processes with ergodicity; the output sequences of those combined generators are also proved to summit to the strong law of large numbers and the central limit theorem; finally the computation formula of the rate of the accordance between the output sequences and input sequences of those combined generators is given.