361-2-2061 Multi-User Information Theory

Lecture Notes

Lecture 1: Definition of entropy rate, directed information and causal conditioning [pdf] [Latex sources]
Lecture 2: Markov precesses and Gamling [pdf][latex sources]
Lecture 3: Channel coding with Feedback, MAC[pdf] [latex sources]
Lecture 4: MAC, Gaussian MAC, Methods of Types [pdf] [Latex sources]
Lecture 5: Methods of types [pdf] [Latex sources]
Lecture 6: Achievability of MAC [pdf] [Latex sources]
Lecture 7:Channels with states: Compound channel and causal state information at the encoder [pdf] [Latex sources]
Lecture 8:Causal and noncausal state information at the encoder [pdf] [Latex sources]
Lecture 9: Non causal state information: Achievability and converse [pdf] [Latex sources]
Lexture 10: Covering Lemma, Writing on dirty paper and cardinality bounds of auxilary random variable [pdf] [Latex sources]
Lexture 11: Lecture given by Prof. Amos Lapidoth,
Universal channel decoding for additive noise channels with uknown noise distribustion [pdf] [Latex sources]