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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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ECE 751 - Information Theory

Credits: 3
Not Repeatable for Credit
Offered by Electrical and Computer Engineering

Introduces information theory, which is mathematical theory of communication systems. Topics include measures of information such as entropy, relative entropy, and mutual information; Shannon-McMillan-Breiman theorem and applications to data compression; entropy rate and source coding theorem; Huffman, arithmetic and Lempel-Ziv codes; method of types, channel capacity, and channel-coding theorem; joint source-channel coding theorem; differential entropy; Gaussian channel; rate distortion theory; and vector quantization.

Equivalent to IT 886

Prerequisite(s): ECE 528 or permission of instructor.
Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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ECE 751 - Information Theory