Information Theory and Source Coding
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Lecturer: Dr. Christiane Antweiler
Contact: Tim Schmitz, Matthias Schrammen
Type: Master CE lecture
Credits: 2
Campus Lecture
Campus Exercise
Learning room L2P
(Registration via campusOffice)
Course language: English
Material:
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.
Dates
Lecture:
from Wednesday, Oct. 11th, 2017
08:30am - 10:00am
Seminar room 4G IKS
Exercise:
from Wednesday, Oct. 11th, 2017
10:15am - 11:00am
Seminar room 4G IKS
Consultation hours:
Tuesday, July 25th, 2017
02.00pm - 03:00pm
Seminar room 4G at IKS
Monday, July 31st, 2017
02.00pm - 03:00pm
Seminar room 4G at IKS
Wednesday, August 2nd, 2017
02.00pm - 03:00pm
Seminar room 4G at IKS
Exam
The exam is held orally on 16.08., 30.08. and 26.09. Dates are given by arrangement. Please contact Ms Sedgwick , sedgwick@iks.rwth-aachen.de
The lecture "Information Theory and Source Coding" is part of the Master programmes
- Communications Engineering in Module C,
- Simulation Sciences.
Contents
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.
Evaluation
The results of the evaluation of the last years are summarized below.
Winter term 2016/2017
Lecture:
Participants of the evaluation: 20
Global grade: 1.6
Concept of the lecture: 1.6
Instruction and behaviour: 1.6
Exercise:
Participants of the evaluation: 19
Global grade: 1.5
Concept of the exercise: 1.4
Instruction and behaviour: 1.5