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Item Digital jitter measurement and separation(2005-08) McClure, Mark Scott; Parten, Michael E.; Nutter, BrianThis thesis examines a method of measuring jitter and separating the random and deterministic components without the use of overly expensive jitter measurement or analysis equipment. Relatively inexpensive, on-hand equipment is used to achieve this objective. Period measurements were made on an Agilent Infiniium oscilloscope and recorded by a PC. The data was post processed in MATLAB, and a histogram tail-fitting algorithm measured and separated the deterministic and random jitter.Item Digital jitter measurement and separation(Texas Tech University, 2005-08) McClure, Mark Scott; Parten, Michael E.; Nutter, BrianThis thesis examines a method of measuring jitter and separating the random and deterministic components without the use of overly expensive jitter measurement or analysis equipment. Relatively inexpensive, on-hand equipment is used to achieve this objective. Period measurements were made on an Agilent Infiniium oscilloscope and recorded by a PC. The data was post processed in MATLAB, and a histogram tail-fitting algorithm measured and separated the deterministic and random jitter.Item Effect of non-randomness on random variates and discrete event simulation(Texas Tech University, 2004-05) Latchireddi, Seethapathi RaoRandom numbers and random variables are the most important aspect of simulation studies. Non-randomness is unavoidable with the use of digital computers to generate random numbers. In such a scenario it is important to understand how non-randomness would affect simulation modeling. A detailed understanding is expected to minimize inconsistencies of the results of use of pseudo random numbers. In this research the impact of typical non-randomness artificially duplicated into a random number generator on random variates and resulting use in discrete event simulation is discussed. Normal, exponential and triangular distributions are studied to understand the effect of non-randomness observed in RANDU type generator on random variate performance. A detailed analysis based on statistical tests is used for hypothesis testing and the findings are expected to help analyze how faulty random number generators used in early Monte Carlo simulations, dozens of research publications which are cited as reference to this day, along with its possible consequences in current research.