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Jan 02, 2025
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EE 7953 - Advanced Probability and Stochastic Processes for Communications
Coverage of advanced probability and stochastic processes for communications applications. Transformations of RVs, sequences of RVs and stochastic convergence, multiple statistics, parameter estimation, hypothesis testing, random walks, spectral representations (e.g., KL expansions), Markov processes. Selected topics of current interest.
Requisites: EE 6723
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Ability to conduct and evaluate hypothesis tests.
- Ability to find densities/distributions of arbitrary random variable transformations.
- Ability to formulate and evaluate various parameter estimatation methods.
- Ability to use and analyze Markov chains to describe stochastic processes.
- Employ various spectral representations to describe stochastic process.
- Understand and describe types of stochastic convergence.
- Understanding and classifying of principles and applications of random walks.
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