<?xml version="1.0" encoding="ISO-8859-1" standalone="yes" ?>
<document>
<title>Designing Digital Transmission Systems</title>
<cid>E2609</cid>
<sapsubmodule>P211-0071, P211-0072</sapsubmodule>
<bkey>ei</bkey>
<ctypes>
<hours>2</hours>
<type>V</type>
<hours>1</hours>
<type>P</type>
</ctypes>
<cp>4</cp>
<semester>6</semester>
<mandatory>yes</mandatory>
<language>German</language>
<exam>Oral examination (50%), project work (50%)</exam>
<curriculum>
<curriculum_entry>
<cid>E2609</cid>
<branch>Electrical Engineering and Information Technology</branch>
<semester>6</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
</curriculum>
<workload>
45 class hours (= 33.75 clock hours) over a 15-week period.The total student study time is 120 hours (equivalent to 4 ECTS credits).There are therefore 86.25 hours available for class preparation and follow-up work and exam preparation.</workload>
<prerequisites>
</prerequisites>
<prerequisitesfor>
</prerequisitesfor>
<convenor>Prof. Dr. Martin Buchholz</convenor>
<convenor-person-key>mb</convenor-person-key>
<lecturers>
<lecturer>Prof. Dr. Martin Buchholz</lecturer>
<lecturer-person-key>mb</lecturer-person-key>
</lecturers>
<objectives>After successfully completing this course, students will have the basic knowledge necessary for understanding digital transmission systems. - They will be able to analyze the quality of digital transmission systems using eye diagrams and bit error rates. - Students will be able to simulate a complete transmitting and receiving system with Matlab/Simulink and other EDA tools. - They will be able to implement the required digital algorithms for carrier and clock recovery, automatic gain control, filtering, pulse shaping, equalization, as well as IQ modulation and demodulation. - They will be able to specify selection criteria for an appropriate receiver architecture and modulation procedure. - Students will be able to estimate the effort required for multi-rate signal processing (decimation and interpolation).</objectives>
<content>1. Introduction 2. Digital baseband transmission - basics, line coding, pulse shape filtering, eye diagram, bit error rate, M-ary PAM 3. Communication channels - AWGN channel, wired channels, wireless channels, mobile channels 4. Digital bandpass transmission -  IQ modulation, complex baseband representation (equivalent low-pass signals), constellation diagram, higher-order modulation methods 5. Receiver architectures - analog front end heterodyne receiver, homodyne receiver, Low IF receiver, direct-conversion receiver, up down receiver, direct sampling receiver 6. Demodulation - digital front end coherent and non-coherent detection, matched filtering, channel selection, mirror frequency suppression, clock and carrier synchronization, AGC, equalizer 7. Multirate signal processing - interpolation, decimation 8. Wideband transmission techniques - spread spectrum, CDMA, OFDM, UWB 9. Simulation of telecommunication systems in Matlab and Simulink</content>
<media>Projector, lecture notes, Matlab, EDA tools, IQ lab (laboratory test environment)</media>
<literature>Haykin, Simon: Digital Communications, John Wiley &amp; Sons Hoffmann, Josef; Quint, Franz: Signalverarbeitung mit Matlab und Simulink: Anwendungsorientierte Simulationen, Oldenbourg, 2007 Oppenheim, Alan V.; Schafer, Ronald W.; Buck, John R.: Zeitdiskrete Signalverarbeitung, Oldenbourg, (latest edition) Proakis, John G., Salehi, Masoud: Grundlagen der Kommunikationstechnik, Pearson, 2004, 2. Aufl. Proakis, John G.: Digital Communications, (latest edition) Roppel, Carsten: Grundlagen der digitalen Kommunikationstechnik, Hanser, 2006 van Trees, Harry L.: Detection, Estimation and Modulation, John Wiley</literature>
<offered>
</offered>
<moduldb-query>Fri Jun 12 01:46:05 CEST 2026, CKEY=e3E2609, BKEY=ei, CID=[?], LANGUAGE=en, DATE=12.06.2026</moduldb-query>
</document>
