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Digital Signal Processing

Module name (EN):
Name of module in study programme. It should be precise and clear.
Digital Signal Processing
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021
Module code: KIB-DSIG
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P200-0005
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2P (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
4
Semester: 5
Mandatory course: no
Language of instruction:
German
Assessment:
Written exam

[updated 20.03.2007]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI560 (P200-0005) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 5, mandatory course
KIB-DSIG (P200-0005) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 5, optional course
KIB-DSIG (P200-0005) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 5, optional course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Martin Buchholz
Lecturer: Prof. Dr. Martin Buchholz

[updated 01.04.2003]
Learning outcomes:
After successfully completing this module, students will be able to carry out digital signal processing and analyze telecommunications signals and systems. They will know the different structures of discrete time systems and can analyze them analytically with the help of the discrete Fourier transform and the Z-transform. Students will know how to examine digital systems using Matlab and be familiar with the basic features of a simulation tool such as Simulink and SPW (Signal Processing Workstation). The acquired skills in designing digital algorithms and filters will be intensified in an FPGA as part of the simulation and implementation.
Students will thus, be able to apply their knowledge to complex telecommunication systems and implement the required digital algorithms independently in their later professional life or during the Master program.


[updated 19.02.2018]
Module content:
1. Introduction
Ideal and real sampling, sampling theorems, practical aspects of scanning
2. Discrete time signals and systems
   Discrete folding, FIR and IIR systems
3. Structure of discrete time systems
4. Representation of discrete time signals and systems in the frequency domain
5. The Z-transform
   Stability
6. Simulation of algorithms for digital signal processing
7. Implementation in hardware
 
Matlab examples and exercises will be provided for all chapters.

[updated 30.07.2021]
Teaching methods/Media:
Script, projector, Matlab and SPW Simulation software in the PC room, implementation in FPGA evaluation boards

[updated 19.02.2018]
Recommended or required reading:
Oppenheim, A. V.; Schafer, R. W.: Zeitdiskrete Signalverarbeitung, Oldenbourg Verlag, 1999
Stearns, S.D.; Hush D.R.: Digitale Vararbeitung analoger Signale, Oldenbourg, 1999
Von Grünigen, D. Ch.: Digitale Signalverarbeitung, Carl-Hanser Verlag, 2004
Kammeyer, K.-D. / Kroschel K.: Digitale Signalverarbeitung – Filterung und Spektralanalyse, Teubner
Goetz, H.: Einführung in die digitale Signalverarbeitung, Teubner Verlag, 1998
Werner, M.: Digitale Signalverarbeitung mit Matlab, Intensivkurs mit 16 Versuchen, Vieweg, 2006
Brigham, E.O.: FFT Anwendungen, Oldenbourg, 1997

[updated 30.07.2021]
Module offered in:
WS 2022/23, WS 2021/22, WS 2020/21, WS 2019/20 
[Sat Nov 23 11:02:36 CET 2024, CKEY=digisig, BKEY=ki2, CID=KIB-DSIG, LANGUAGE=en, DATE=23.11.2024]