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ESE 503 - Stochastic Systems

Description
Basic probability concepts and application. Probabilistic bounds, characteristic functions, and multivariate distributions. Central limit theorem, normal random variables, stochastic processes in communications, control, and other signal processing systems. Stationarity, ergodicity, correlation functions, spectral densities, and transmission properties. Optimum linear filtering, estimation, and prediction. Fall,. Class Notes: This course uses an automatic waitlist.This course is a hybrid. It will meet in person and online.
Credits
3
Recent Professors
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Recent Semesters
Fall 2021, Fall 2020, Fall 2019, Fall 2018, Fall 2017
Offered
W
Avg. Class Size
47
Avg. Sections
1