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
Contents:  

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
References:  

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

 

News

Exam preparation (Date will be announced soon!): 

 

Current Exam

Date: Friday, 09.03.2018
Time: 09:00 h - 10:30 h
Room: KS2, C-SR I

 

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)

 

Exercises

  Exercises

 

Exam Preparation

  Exam Preparation

 

Previous Exams

  Exam of the summer term 2017     Corresponding solution
  Exam of the winter 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

 

Website News

20.01.2017: Talk from Dr. Sander-Thömmes added.

12.01.2018: New RED section on Trend Removal added.

29.12.2017: Section Years in Review added.

28.12.2017: Update of our SONAR section.

03.12.2017: Added pictures from our Sylt meeting.

Recent Publications

T. O. Wisch, T. Kaak, A. Namenas, G. Schmidt: Spracherkennung in stark gestörten Unterwasserumgebungen, Proc. DAGA 2018

S. Graf, T. Herbig, M. Buck, G. Schmidt: Low-Complexity Pitch Estimation Based on Phase Differences Between Low-Resolution Spectra, Proc. Interspeech, pp. 2316 -2320, 2017

Contact

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

New PhDs in the DSS Team

Since January this year we have two new PhD students in the team: Elke Warmerdam and Finn Spitz.

Elke is from Amsterdam and she works in the neurology department in the university hospital in the group of Prof. Maetzler. Her research topic is movement analysis of patients with neurologic disorders. Elke cooperates with us in signal processing related aspects of her research. Elke plays ...


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