ECE7680 - Information Theory, Spring 2006

Information theory explores the fundamental limits of the representation and transmission of information. We will focus on the definition and implications of (information) entropy, the source coding theorem, and the channel coding theorem. These concepts provide a vital background for researchers in the areas of data compression, signal processing, controls, and pattern recognition.

Information Theory

Information Theory

Professor Todd Moon

Electrical and Computer Engineering
Utah State University

Course Structure : Two 75-minute classes per week

Prerequisites :
ECE 5660

Image courtesy of Naveen Jamal

Course Description

Information theory explores the fundamental limits of the representation and transmission of information. We will focus on the definition and implications of (information) entropy, the source coding theorem, and the channel coding theorem. These concepts provide a vital background for researchers in the areas of data compression, signal processing, controls, and pattern recognition.

Citation: Moon, T., admin. (2006, May 11). Information Theory. Retrieved January 07, 2011, from Free Online Course Materials — USU OpenCourseWare Web site: http://ocw.usu.edu/Electrical_and_Computer_Engineering/Information_Theory.html.
Copyright 2008, Todd Moon. This work is licensed under a Creative Commons License. Creative Commons License