ECE 521 - Random Signals and Systems I

Institution:

University of Massachusetts-Dartmouth

Subject:

Electrical and Computer Engineering

Description:

3 hours lecture Prerequisites: Probability and random variables; or permission of instructor Random variables and probabilistic description of signals and systems. The course provides the analytical tools for studying random phenomena in engineering systems and provides graduate students with an extensive treatment of probability theory, Bayes theorem, random variables, distribution and density functions, conditional distributions, moments, functions of random variables, characteristic functions, stochastic processes, Gaussian processes, stationary processes, correlation functions, power spectral density, response of systems to random inputs, mean square error estimation, filtering and prediction, and noise analysis. The course prepares students for a wide range of courses in communications, signal processing, acoustics, control, and other areas of engineering in which random signals and systems have an important role.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umassd.edu

Phone Number:

(508) 999-8000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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