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ECE7680 - Information Theory, Spring 2006

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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.

Course Contents

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ECE7680 - Differential Entropy , Spring 2006

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ECE7680 - Data Compression , Spring 2006

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ECE7680 - Entropy Rates , Spring 2006

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ECE7680 - Some More Bounds , Spring 2006

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ECE7680 - Homework Assignments , Spring 2006

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ECE7680 - Data Compression , Spring 2006

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ECE7680 - Definitions and Basic Facts , Spring 2006

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ECE7680 - Bits and Queues , Spring 2006

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ECE7680 - Some More Bounds , Spring 2006

ECE7680 - Channel Capacity , Spring 2006

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ECE7680 - lecture1PS , Spring 2006

ECE7680 - ProfMoon , Spring 2006

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ECE7680 - Application of Information Theory to Blind Source Separation , Spring 2006

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ECE7680 - Some More Bounds , Spring 2006

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ECE7680 - Differential Entropy , Spring 2006

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ECE7680 - The Gaussian Channel , Spring 2006

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ECE7680 - Arithmetic Coding , Spring 2006

ECE7680 - Differential Entropy , Spring 2006

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ECE7680 - Definitions and Basic Facts , Spring 2006

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ECE7680 - The Asymptotic Equipartition Property , Spring 2006

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ECE7680 - Application of Information Theory to Blind Source Separation , Spring 2006

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ECE7680 - Definitions and Basic Facts , Spring 2006

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ECE7680 - Introduction to Information Theory , Spring 2006

ECE7680 - Channel Capacity , Spring 2006

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ECE7680 - Schedule , Spring 2006

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ECE7680 - Channel Capacity , Spring 2006

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ECE7680 - Data Compression , Spring 2006

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ECE7680 - Introduction to Information Theory , Spring 2006

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ECE7680 - The Gaussian Channel , Spring 2006

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ECE7680 - The Asymptotic Equipartition Property , Spring 2006

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ECE7680 - Maximum Entropy Estimation , Spring 2006

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ECE7680 - Application of Information Theory to Blind Source Separation , Spring 2006

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ECE7680 - About the Professor , Spring 2006

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ECE7680 - Differential Entropy , Spring 2006

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ECE7680 - fruitLoops , Spring 2006

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ECE7680 - More On Channel Capacity , Spring 2006

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ECE7680 - Homework Assignments , Spring 2006

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ECE7680 - The Asymptotic Equipartition Property , Spring 2006

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ECE7680 - Application of Information Theory to Blind Source Separation , Spring 2006

ECE7680 - Introduction to Information Theory , Spring 2006

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ECE7680 - Syllabus , Spring 2006

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ECE7680 - Homework Assignments , Spring 2006

ECE7680 - Maximum Entropy Estimation , Spring 2006

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ECE7680 - lecture5PS , Spring 2006

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ECE7680 - Definitions and Basic Facts , Spring 2006

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ECE7680 - Application of Information Theory to Blind Source Separation , Spring 2006

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ECE7680 - lecture11PDF , Spring 2006

ECE7680 - Bits and Queues , Spring 2006

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ECE7680 - lecture2PDF , Spring 2006

ECE7680 - Test Data for Data Compression , Spring 2006

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ECE7680 - lecture1_commModel , Spring 2006

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ECE7680 - lec11_img2 , Spring 2006

ECE7680 - program1PDF , Spring 2006

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ECE7680 - hw.ps , Spring 2006

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ECE7680 - lecture7PS , Spring 2006

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ECE7680 - The Gaussian Channel , Spring 2006

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ECE7680 - lecture4PS , Spring 2006

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ECE7680 - Arithmetic Coding , Spring 2006

ECE7680 - lecture13PS , Spring 2006

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ECE7680 - The Gaussian Channel , Spring 2006

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ECE7680 - The Gaussian Channel , Spring 2006

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ECE7680 - lec10_img1 , Spring 2006

ECE7680 - lecture10PDF , Spring 2006

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ECE7680 - The Asymptotic Equipartition Property , Spring 2006

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ECE7680 - Data Compression , Spring 2006

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ECE7680 - lecture13PDF , Spring 2006

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ECE7680 - ethereal , Spring 2006

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ECE7680 - lecture11PS , Spring 2006

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ECE7680 - More On Channel Capacity , Spring 2006

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ECE7680 - Data Compression , Spring 2006

ECE7680 - lecture5PDF , Spring 2006

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Copyright 2008, Todd Moon. Cite/attribute Resource . 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/index.html. This work is licensed under a Creative Commons License Creative Commons License