George Mason University
George Mason University Mason
George Mason University

ECE 528: Introduction to Random Processes in Electrical and Computer Engineering

Course Information from University Catalog

Not Repeatable


Probability and random processes are fundamental to communications, control, signal processing, and computer networks. Provides basic theory and important applications. Topics include probability concepts and axioms; stationarity and ergodicity; random variables and their functions; vectors; expectation and variance; conditional expectation; moment-generating and characteristic functions; random processes such as white noise and Gaussian; autocorrelation and power spectral density; linear filtering of random processes, and basic ideas of estimation and detection.

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

ECE 220 and STAT 346, or permission of instructor.

2 Course Sections Scheduled for Fall 2017

2 Course Sections Scheduled for Fall 2018

2 Course Sections Scheduled for Spring 2018

Expertise