MIT 6.451 Principles of Digital Communication II

This course is the second of a two-term sequence with 6.450. The focus is o
Course Created by Massachusetts Institute of Technology
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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.

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Course Outline

Chapter 1: MIT 6.451 Principles of Digital Communication II

  • Lesson 1
    Lec 1 | MIT 6.451 Principle…
    01:19:19
  • Lesson 2
    Lec 2 | MIT 6.451 Principle…
    01:16:04
  • Lesson 3
    Lec 3 | MIT 6.451 Principle…
    01:22:29
  • Lesson 4
    Lec 4 | MIT 6.451 Principle…
    01:15:35
  • Lesson 5
    Lec 5 | MIT 6.451 Principle…
    01:34:00
  • Lesson 6
    Lec 6 | MIT 6.451 Principle…
    01:21:39
  • Lesson 7
    Lec 7 | MIT 6.451 Principle…
    01:20:43
  • Lesson 8
    Lec 8 | MIT 6.451 Principle…
    01:24:46
  • Lesson 9
    Lec 9 | MIT 6.451 Principle…
    01:23:11
  • Lesson 10
    Lec 10 | MIT 6.451 Principl…
    01:23:16
  • Lesson 11
    Lec 11 | MIT 6.451 Principl…
    01:20:37
  • Lesson 12
    Lec 12 | MIT 6.451 Principl…
    01:32:03
  • Lesson 13
    Lec 13 | MIT 6.451 Principl…
    01:21:48
  • Lesson 14
    Lec 14 | MIT 6.451 Principl…
    01:22:15

  •   Lifetime access to all lessons!
  •   30 days money back guarantee!
  •   Accessible via iPhone, iPad and Android (soon!)