361-2-2061 Multi-User Information Theory
Ben-Gurion University
Autumn Semester 2009/10
Contents:
Announcement
- Final Practice and solustions in the HW section .
- I uploaded a few tips for writing the lecture notes: pdf tex . Please read them carefully and feel free to add to the file aditional tips and then send them to me by email.
- Date for the final is Monday, Jan 11th 2010.
- Gambling with side information for
i.i.d proceeses can be found in Chapter 6. Gambling with causal side
information can be found in the paper “On
Directed Information and Gambling,”
Lectures
Building 97, room 202 , Mondays 17:00-20:00pm, 3 Unit
- Instructor: Haim Permuter
- Office: Building 33 office 312
- Tel: 6461558
- Email: haimp (at) bgu (dot) ac (dot) il
Course Outline and
Syllabus
In
the course we will study distributed source
coding, multi-users channel coding, gambling, market
investing and relation between estimation, statistics and information
measures
-
Review on information
measures, point-to-point source coding and channel coding.
- Sources with memory: entropy rate, causal conditioning,
directed information.
-
Gambling and stock
investment.
- Methods of types and Sanov theorem
-
Multiple-Acces Channel (MAC)
Channels with states:
Compound channel
Noncausal/Causal state information known at the encoder
- Writing on dirty paper
Textbook
The course will follow
- Textbook: "Elements
of Information
Theory," by Cover and Thomas, 1st or 2nd Edition, New York:
Wiley,
2006.
-
Prerequisite
You should be familiar with
the material that was taught in Mathematical
Methods in
Communication (361-2-5891)
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