This course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm. http://ocw.mit.edu
Special software is required to use some of the files in this section: .mp4, .rm.
The course notes are written by Prof. David Forney, and are organized by chapter. In addition to downloadable lecture notes, video files of each lecture are provided below.