Principles of Digital Communication II OpenCourseWare: A Free MIT Graduate Study Course on Modern Communication Systems

Published Jan 14, 2009

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The Massachusetts Institute of Technology (MIT) offers a free graduate course in 'Principles of Digital Communication II' OpenCourseWare, a follow-up course from 'Principles of Digital Communication I'. Graduate students will learn about coding and decoding techniques, performance analysis and design principles of additive white Gaussian noise channels (AWGN). The free course is offered through the Electrical Engineering and Computer Science Department at MIT and is beneficial to graduate students pursuing research areas in communications, signal processing and networks.

Principles of Digital Communication II: Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes Yes Yes Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes Yes

Principles of Digital Communication II: Course Description

Part two of the 'Principles of Digital Communication' OpenCourseWare shows students how to identify small signal constellations after examining the Shannon limit of additive white Gaussian noise channels (AWGN). Students will also learn about performance analysis, hard-decision and soft-decision decoding and a variety of other coding techniques, such as Reed-Muller codes, BCH codes and binary linear block codes. The OpenCourseWare is taught by MIT Professor David Forney in a lecture format. Some of the lecture topics include trellis-based decoding, lattice codes, multilevel coding and shaping, finite fields, sum-product and min-sum algorithms, LDPC codes, RA codes and BCJR algorithms. Students are recommended to take the first part of the 'Principles of Digital Communication' OpenCourseWare sequence.

This OpenCourseWare includes lecture notes, assignments, exams and video lectures. If you are interested in taking this free course, visit the coding techniques course page.

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