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ELC 5354: Random Signals and Noise

Spring 2027 · 3 credit hours · 1 section · 19 open seats as of Oct 30, 2026, 4:08 AM Central

Prerequisite(s): ELC 3335 and consent of instructor. Foundational treatment of probability, random variables and stochastic processes used in the analysis of random signals and noise in many areas of engineering. Topics include the modeling and properties of probability, scalar and vector random variables, the central limit theorem, stochastic processes, stationarity, ergodicity, the Karhunen-Loeve expansion, power spectral densities, response of linear systems to random signals, and Markov chains.

Professors teaching ELC 5354 in Spring 2027

Robert Marks. See their BUBooks scores and reported grades in the builder.

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