Lecture "Advanced Digital Signal Processing"

Basic Information

Lecturers:   Gerhard Schmidt (lecture) and Eric Elzenheimer (exercise)
Room:   KS2/Geb.F - SR-I
Language:   English
Target group:   Students in electrical engineering and computer engineering
Prerequisites:   Basic Knowlegde about signals and systems

Students attending this lecture should be able to implement efficient and robust signal processing structures. Knowledge about moving from the analog to the digital domain and vice versa including the involved effects (and trap doors) should be acquired. Also differences (advantages and disadvantages) between time and frequency domain approaches should be learnt.

Topic overview:

  • Digital processing of continuous-time signals
  • Efficient FIR structures
  • DFT and FFT
  • Digital filters (FIR filters/IIR filters)
  • Multirate digital signal processing

J. G. Proakis, D. G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall,
S. K. Mitra: Digital Signal Processing: A Computer-Based Approach, McGraw Hill Higher Education, 2000
A. V. Oppenheim, R. W. Schafer: Discrete-time signal processing, Prentice Hall, 1999, 2nd edition
M. H. Hayes: Statistical Signal Processing and Modeling, John Wiley and Sons, 1996


Exam Results and Exam Inspection:

The results of the winter semester's exam of 02.03.2017 are online in the QIS-system. Please note the date of the exam inspection:

Date: Thursday, 06.04.2017
Time: 09:00 h - 10:00 h
Room: Library of the DSS-group (D-037 A)

Lecture slides

  Slides of the lecture "Introduction"
(Contents, literature, analog versus digital signal processing)
  Slides of the lecture "Digital processing of continuous-time signals"
(Sampling, Quantization, AD and DA conversion)
  Slides of the lecture "Efficient FIR structures"
(DFT and signal processing, FFT, DFT of real sequences)
  Slides of the lecture "DFT/FFT"
(DFT and signal processing, FFT, DFT of real sequences)
  Slides of the lecture "Digital filters"
(FIR filters, IIR filters, analysis and design)
  Slides of the lecture "Multi-rate digital signal processing"
(Upsampling, downsampling, filter banks)





Exam Preparation

  Exam Preparation


Previous Exams

  Exam of the summer term 2016/2017     Corresponding solution
  Exam of the summer term 2016     Corresponding solution
  Exam of the winter term 2015/2016     Corresponding solution
  Exam of the summer term 2015     Corresponding solution
  Exam of the winter term 2014/2015     Corresponding solution
  Exam of the summer term 2014     Corresponding solution


Recent Publications

P. Durdaut, J. Reermann, S. Zabel, Ch. Kirchhof, E. Quandt, F. Faupel, G. Schmidt, R. Knöchel, and M. Höft: Modeling and Analysis of Noise Sources for Thin-Film Magnetoelectric Sensors Based on the Delta-E Effect, IEEE Transactions on Instrumentation and Measurement, published online, 2017

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, J. McCord, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, and M. Höft: Improved Magnetic Frequency Conversion Approach for Magnetoelectric Sensors, IEEE Sensors Letters, published online, 2017


Website News

18.06.2017: Page about KiRAT news added (also visible in KiRAT).

31.05.2017: Some pictures added.

23.04.2017: Time line for the lecture "Adaptive Filters" added.

13.04.2017: List of PhD theses added.


Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

Recent News

Alexej Namenas - A New Guy in the Team

In June Alexej Namenas started in the DSS Team. He will work on real-time tracking algorithms for SONAR applications. Alexej has done both theses (Bachelor and Master) with us. The Bachelor thesis in audio processing (beamforming) and the Master thesis in the medical field (real-time electro- and magnetocardiography). In addition, he has intership erperience in SONAR processing.

We are pretty ...

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