ECE 384 - Random Signals and Noise

Institution:

University of Massachusetts-Dartmouth

Subject:

Electrical and Computer Engineering

Description:

3 hours lecture Prerequisites: ECE 320 Concepts of probability and statistics as they apply to random signals and their effect on system analysis and design. Topics covered include basic probability, random variables, probability density and distribution functions, joint distributions, conditional distributions, functions of a random variable, mean, variance, covariance, characteristic functions, random processes, correlation functions, power spectral density, linear systems, linear filters, systems that maximize signal-to-noise ratio, and selected applications and designs from communication theory, sonar and radar, and control theory.

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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