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6.451 Principles of Digital Communication II, Spring 2005

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Poster for 6.451 Principles of Digital Communication II, Spring 2005

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Instructor: Prof. David Forney 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. More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. If time permits, it covers equalization of linear Gaussian channels. * NOTE: The Real Media files are the originals. The MP4s a…

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Subjects

coding techniques; the Shannon limit of additive white Gaussian noise channels; performance analysis; Small signal constellations; performance analysis; coding gain; Hard-decision and soft-decision decoding; Introduction to binary linear block codes; Reed-Muller codes; finite fields; Reed-Solomon and BCH codes; binary linear convolutional codes; Viterbi and BCJR algorithms; Trellis representations of binary linear block codes; trellis-based ML decoding; Codes on graphs; sum-product; max-product; decoding algorithms; Turbo codes; LDPC codes and RA codes; Coding for the bandwidth-limited regime; Lattice codes.;Trellis-coded modulation; Multilevel coding; Shaping

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