Elec 535: Information and Coding
Theory
Rice University, Fall 1996, Fall 1997, Spring 1999
This is a graduate course designed to prepare students for graduate work in
information theory, communications, source coding, signal processing and
statistics. The course covers Shannon's entropy, data compression and channel
capacity theorems, the Gaussian channel, linear block codes, cyclic codes,
convolutional codes, Viterbi decoding algorithm, trellis
coded modulation and turbo codes.
- Instructor: Elza Erkip
- Prerequisite: An
undergraduate course on probability is required. A graduate course on
stochastic processes (like Elec 533) might be helpful, but not required.
- Grading: Weekly homeworks
30%, midterm 30%, final 40%.
- Required text: T. M.
Cover and J. Thomas, Elements of Information Theory, Wiley, 1991.
- Recommended books:
- R. E. Blahut, Theory
and Practice of Error Control Codes , Addison-Wesley, 1984.
- S. B. Wicker, Error
Control Systems for Digital Communication and Storage, Prentice Hall,
1995.
- S. Lin and D. J.
Costello, Error Control Coding: Fundamentals and Application,
Prentice-Hall, 1993.
- Syllabus
Last modified May 21, 2002.