ELC 5354 - Random Signals and Noise

Institution:

Baylor University

Subject:

Description:

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.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.baylor.edu

Phone Number:

(254) 710-1011

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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