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Introduction to Binary Block Codes, Part 2

By David Forney - MIT
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Lecture Description

Course Description

This course is the second of a two-term sequence. 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 Principles of Digital Communication I 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.

Related Resources

Lecture Notes   |  Problem Set 4   |  Problem Set 4 Solutions

Course Index

  1. Introduction to Principles of Digital Communication II
  2. Performance of Small Signal Constellations
  3. Hard-decision and Soft-decision Decoding, Part 1
  4. Hard-decision and Soft-decision Decoding, Part 2
  5. Introduction to Binary Block Codes, Part 1
  6. Introduction to Binary Block Codes, Part 2
  7. Introduction to Finite Fields, Part 1
  8. Introduction to Finite Fields, Part 2
  9. Introduction to Finite Fields, Part 3
  10. Reed-Solomon Codes, Part 1
  11. Reed-Solomon Codes, Part 2
  12. Reed-Solomon Codes, Part 3
  13. Introduction to Convolutional Codes, Part 1
  14. Introduction to Convolutional Codes, Part 2
  15. Trellis Representations of Binary Linear Block Codes, Part 1
  16. Trellis Representations of Binary Linear Block Codes, Part 2
  17. Codes on Graphs, Part 1
  18. Codes on Graphs, Part 2
  19. The Sum-Product Algorithm, Part 1
  20. The Sum-Product Algorithm, Part 2
  21. Turbo, LDPC, and RA Codes, Part 1
  22. Lattice and Trellis Codes, Part 1
  23. Lattice and Trellis Codes, Part 2
  24. Lec 24 | MIT 6.451 Principles of Digital Communication II
  25. Lec 25 | MIT 6.451 Principles of Digital Communication II