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Stochastic Models for Communications
This lecture covers stochastic models for communications, focusing on questions related to independent and identically distributed random variables, characteristic functions, Markov chains, Poisson processes, and probability calculations. It also discusses the properties of Markov chains, including aperiodicity and transition probabilities. Additionally, it explores binomial and uniform distributions, as well as the concept of reversibility in chains. The lecture concludes with an overview of exams and course schedules for the upcoming weeks.
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