6.451 Principles of Digital Communications II (Spring 2005, MIT OCW). Instructor: Professor David Forney.
694 years, 4 months
25
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. (from ocw.mit.edu)
Course Currilcum
- Lecture 01 – Introduction, Sampling Theorem Unlimited
- Lecture 02 – Performance of Small Signal Constellations Unlimited
- Lecture 03 – Hard-decision and Soft-decision Decoding Unlimited
- Lecture 04 – Hard-decision and Soft-decision Decoding Unlimited
- Lecture 05 – Introduction to Binary Block Codes Unlimited
- Lecture 06 – Introduction to Binary Block Codes Unlimited
- Lecture 07 – Introduction to Finite Fields Unlimited
- Lecture 08 – Introduction to Finite Fields Unlimited
- Lecture 09 – Introduction to Finite Fields Unlimited
- Lecture 10 – Reed-Solomon Codes Unlimited
- Lecture 11 – Reed-Solomon Codes Unlimited
- Lecture 12 – Reed-Solomon Codes Unlimited
- Lecture 13 – Introduction to Convolutional Codes Unlimited
- Lecture 14 – Introduction to Convolutional Codes Unlimited
- Lecture 15 – Trellis Representations of Binary Linear Block Codes Unlimited
- Lecture 16 – Trellis Representations of Binary Linear Block Codes Unlimited
- Lecture 17 – Codes on Graphs Unlimited
- Lecture 18 – Codes on Graphs Unlimited
- Lecture 19 – The Sum-Product Algorithm Unlimited
- Lecture 20 – Turbo, LDPC, and RA Codes Unlimited
- Lecture 21 – Turbo, LDPC, and RA Codes Unlimited
- Lecture 22 – Lattice and Trellis Codes Unlimited
- Lecture 23 – Lattice and Trellis Codes Unlimited
- Lecture 24 – Linear Gaussian Channels Unlimited
- Lecture 25 – Linear Gaussian Channels Unlimited