Information Theory and Source Coding

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Lecturer: Dr. Christiane Antweiler

Contact: Tim SchmitzMatthias Schrammen

Type: Master CE lecture

Credits: 2

RWTHonline Lecture
RWTHonline Exercise
Learning room L2
(Registration via campusOffice)

Course language: English

Lecture notes and exercise problems are sold before the first lecture as well as by Irina Ronkartz.

All scripts and auxiliary sheets will also be available for download at the L²P learning room.



from Tuesday, October 9, 2018
08:30 - 10:00
Lecture room 4G


from Tuesday, October 9, 2018
10:30 - 11:15
Lecture room 4G


Wednesday, February 27, 2019
Lecture room AM (Gr)

Depending on the number of participants, the exam takes place in writing or orally.

Resources: Written resources (e.g., lecture notes or books) are not permitted.

Please note: Please bring along your student ID (BlueCard)!

The lecture "Information Theory and Source Coding" is part of the Master programmes

  • Communications Engineering in Module C,
  • Simulation Sciences.


This one-semester course originally is part of the Master Programme Communications Engineering at RWTH. The lecture contents are basically organized in two blocks: On the one hand, the basics of Information Theory are introduced and applied to the field of data encoding. The theory comprises the following elements, accompanied by numerous examples:

  • Discrete memoryless sources and sources with memory
  • entropy, conditional entropy, and mutual information
  • entropy coding (Shannon code, Fano code, Huffman code, Facsimile)
  • and the performance limits of data compression

The second block extends Information Theory and establishes the principles of speech signal encoding. Eventually, the lecture leads to an overview of the state-of-the-art of speech coding technology and its applications, as for example mobile radio. The following topics are discussed in particular:

  • Continuous (analog) sources with memory
  • sampling and quantization of analog signals
  • introduction to rate-distortion theory
  • linear prediction theory and differential waveform coding
  • and an overview about the standards and applications of speech coding

The lecture is supported by weekly exercises. If the described course on "Information Theory and Source Coding" is combined with the course on "Forward Error Correction and Digital Modulation" (summer term), a comprehensive understanding of digital communication systems can be achieved.


The results of the evaluation of the last years are summarized below.

Winter term 2016/2017

Participants of the evaluation: 20
Global grade: 1.6
Concept of the lecture: 1.6
Instruction and behaviour: 1.6

Participants of the evaluation: 19
Global grade: 1.5
Concept of the exercise: 1.4
Instruction and behaviour: 1.5