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Course Details

Spring 2008-2009
ELE 539B   Graded A-F, P/D/F, Audit

Special Topics in Information Sciences and Systems - Modern Coding Theory

Thomas J. Richardson

Error correcting codes based on sparse graphs and their associated iterative decoding algorithms have changed communications, most fundamentally by providing a practical means to closely approach Shannon capacity. Unlike classical coding theory, modern coding theory makes very little use of abstract algebra in either design or analysis. The analysis of iterative systems relies largely on methods from graph theory and probability. We will focus no the fundamental ideas and tools used to study and design these systems while examining the various forms in which they appear.

Sample reading list:
T. Richardson and R. Urbanke, Modern Coding Theory
R. Gallager, LDPC Codes
David MacKay, Information Theory, Inference and Learning Algorithms

Other Requirements:
Not Open to Freshmen.

Other information:
A good understanding of linear algebra and basic probability is needed. Some background in information theory would be very helpful.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
42407 L01 03:00:00 pm - 04:20:00 pm T Th   Friend Center   008   Enrolled:4 Limit:25