Modulhandbuch: Hochschule Offenburg

Communication and Media Engineering

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Fakultät EMI

Modulhandbuch

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Signal and System Theory

Prerequisite

Basic knowledge of mathematics for engineers, in particular complex numbers

Basic knowledge of communications engineering and signal theory

Teaching methods

Lecture

Learning target / Competences

Ability to understand the basic aspects of characterization of digital signals and systems, and being able to perform information theoretical analysis and basic coding techniques in digital communication systems.

Duration

Hours per week

4.0

Overview

Classes	60 h
Individual / Group work:	120 h
Workload	180 h

ECTS

6.0

Requirements for awarding credit points

Module exam K120

Credits and grades

6 CP, grade 1 ... 5

Responsible person

Prof. Dr. Pfletschinger

Recommended semester

Frequency

Annually (ws)

Usability

Master's degree program CME

Lectures

Information Theory and Coding

Type	Lecture
Nr.	EMI405
Hours per week	2.0
Content	Information, Entropy and Redundancy Source Coding Shannon-Fano source coding Huffman coding The source coding theorem Conditional and Joint Entropy, Mutual Information Discrete Memoryless Channels and the Channel Coding Theorem Binary symmetric channel Binary erasure channel Channel Coding Block codes: generator and parity-check matrix Decoding algorithms Channel Models fast and block fading vector channels, OFDM and water-filling MIMO channels Applications Link-to-system interface
Literature	Benedetto, S., Biglieri, E., Principles of Digital Transmission, Kluwer Academic, Plenum Publishers, 1999. Tse, D., Viswanath, P., Fundamentals of Wireless Communication, Cambrigde University Press, 2005. Höher, P. A., Grundlagen der Informationsübertragung, Springer-Vieweg, 2013.

Digital Signals and Systems

Type	Lecture
Nr.	EMI403
Hours per week	2.0
Content	• Elementary signals: sine, rectangle, complex exponential, Dirac impulse • Properties of Signals and Systems: periodicity, orthogonality, signal power and signal energy • Description of linear time-invariant systems in time and frequency domain: Impulse response, step response and transfer function • Fourier series, Fourier transform, discrete-time Fourier transform, z-transform • The Sampling Theorem • Digital Filters: FIR and IIR, Pole-zero-plot, canonical structures
Literature	• Alan V. Oppenheim, Alan S. Willsky: Signals & Systems. Pearson, 2013. • Alan V. Oppenheim, George V. Verghese: Signals, Systems and Inference. Pearson, 2017. • John G. Proakis, Dimitros K. Manolakis: Digital Signal Processing. Pearson, 2014. • Stephan Boyd, Lieven Vandenberghe: Introduction to Applied Linear Algebra. Cambridge University Press, 2018. • Mark Wickert: Signals & Systems for Dummies. Wiley, 2013.