Teaching / Teaching at Old Dominion University

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    Fundamental aspects of probability theory are covered, starting from basic concepts such as set theory, probability space, conditional probabilities, independence,  the law of large numbers, to random variables, joint and marginal densities, general moments, transformations, the central limit theorem, and finally, to more advanced topics such as queuing theory, linear prediction, LMS and Kalman filters . Special attention is given to random processes and power spectral estimation.



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