Information Theory and its Application for Communication Engineering

10. September 2024
Guest professor lecture
Prof. Dr. Johannes Huber, University of Erlangen-Nürnberg
Date: October 10, 2024

Prof. Dr.-Ing. habil. Dr. h. c. Johannes Huber
Retired Professor at the Institute for Digital Communications (IDC) of the Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

This course at the TU Vienna takes place at the Institute of Telecommunications E389.

Professor Johannes Huber will hold this lecture in blocks in October.

Title:
389.241 Information Theory and its Application for Communication Engineering

Contents:

  1. Introduction
  2. Basic Definitions: information, entropy, mutual information.
  3. Coding for Data Compression: source coding theorem, lossless compressing
    codes: Huffman-, Tunstall-, Lempel-Ziv-codes.
  4. Principles of Channel Coding for Reliable Communications: models of noise
    channels, channel capacity.
  5. Channel Coding Theorem: bounding techniques, random coding, cut-off-rate,
    random coding error exponent.
  6. Information Theory for Continuous Random Variables: differential entropy,
    capacity of channels with white and colored noise, bandlimited continuous-
    time channels, tradeoff between power and bandwidth efficiency.
  7. Introduction to Digital Communications over Linearly Distorting Channels
  8. Introduction to Multi-User Information Theory.

References:

Gallager, R. G.: Information Theory and Reliable Communication, John Wiley & Sons 1968, New York.
Cover T., Thomas J.: Elements of Information Theory, John Wiley and Sons, New York, 2006.

Date, Time:
First class on Thursday, October 10, 2024, from 09:00 to 17:00

Event location:
EI 6 Eckert HS

Speaker:
Prof. Johannes Huber, E-Mail: johannes.huber@fau.de
Prof. Norbert Görtz, E-Mail: norbert.goertz@tuwien.ac.at

Organiser:
Institute of Telecommunications
Prof. Norbert Görtz
E-Mail: norbert.goertz@tuwien.ac.at

Detailed information on this course in TISS