Lecture 1 (Tu Sep-1) First lecture; introduction to coding theory. slides (1.3MB)
Lecture 3 (Th Sep-10) Information theory, entropy, channel models and capacities. slides (0.3MB)
Lecture 7 (Th Sep-24) Simple quiz to understand the basics of linear codes. quiz with solutions
Lecture 12 (Tu Oct-13) Representation of LDPC codes slides (0.4MB)
Lecture 13 (Th Oct-15) Construction of LDPC codes example (0.4MB)
Lecture 14 (Tu Oct-20) Low-complexity encoding algorithm for LDPC codes
description of the algorithm and a small example (0.6MB)
Lecture 16 (Tu Oct-27) Decoding over BEC slides (0.4MB)
Lecture 19 (Th Nov-5) Bitwise ML Decoding slides (0.2MB) Updated version.
Lecture 22 (Th Nov-12) Simplification of the Belief propagation algorithm handout (85KB)
Lecture 25 (Tu Dec-1) Binary Additive White-Gaussian-Noise Channel handout Updated version.
Lecture 26 (Th Dec-3) Introduction to LDPC codes by Amin Shokrollahi PDF (221KB)
Lecture 28 (Th Dec-10)
Paper "The renaissance of Gallager's Low-Density Parity-Check Codes" by Richardson and Urbanke
PDF (IEEE) accessible from SUNY campus