ECE6010 - Stochastic Processes, Spring 2006

This course provides an introduction to stochastic processes in communications, signal processing, digital and computer systems, and control. Topics include continuous and discrete random processes, correlation and power spectral density, optimal filtering, Markov chains, and queuing theory.

Course Image

ECE 6010

Professor Todd Moon, Ph.D.

Electrical and Computer Engineering
Utah State University

Course Structure: Three 50-minute classes per week

Prerequisites:

Probability

Image courtesy of Ryan Gallagher

Course Description

This course provides an introduction to stochastic processes in communications, signal processing, digital and computer systems, and control. Topics include continuous and discrete random processes, correlation and power spectral density, optimal filtering, Markov chains, and queuing theory.

Technical Requirements

MATLAB

Citation: Moon, T., admin. (2006, May 30). Stochastic Processes. Retrieved November 08, 2009, from Free Online Course Materials — USU OpenCourseWare Web site: http://ocw.usu.edu/Electrical_and_Computer_Engineering/Stochastic_Processes.
Copyright 2008, Todd Moon. This work is licensed under a Creative Commons License. Creative Commons License