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

The ADSP exercise time (45 minutes) on 19.12.2018 at 10.00 h in KS2/Geb.F-SR-I will be used for lecture time.

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

Please note that the questionnaires will be uploaded every week before the excercises, if you download them earlier, you won't get the most recent version.

main additional    
    Exercise 1: Sampling
    Exercise 2: Quantization
    Exercise 3: Discrete Fourier Transform (DFT) / Convolution
    Exercise 4: FFT / Radix-2-FFT
    Exercise 5: FFTs of real and complex signals

 

Previous Exams

  Exam of the summer term 2018     Corresponding solution
  Exam of the winter term 2017/2018     Corresponding solution
  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

Oral Exams

Below is the list of students with their exam dates. If you do not have a date for the exam yet please use the oral exam booking system on this website. You can find the booking system here.

Date   Time   Students (matriculation numbers)   Assessor
22.02.2019   10:30 h   1122961   Eric Elzenheimer
22.02.2019   11:00 h   1140813   Eric Elzenheimer
08.03.2019   09:30 h   1030685, 1022054, 1022043   Eric Elzenheimer
01.04.2019   08:30 h   1117882   Eric Elzenheimer
01.04.2019   09:00 h   1126914   Eric Elzenheimer
01.04.2019   10:30 h   1010628   Eric Elzenheimer
03.04.2019   11:00 h   1016013   Eric Elzenheimer

 

Website News

30.11.2018: New student project on driver distraction added.

01.10.2018: Dissertation of Philipp Bulling added.

14.08.2018: New section about our SONAR "sisters" added.

18.07.2018: New section about our Parkinson voice training game added.

07.07.2018: New lecture Fundamentals of Acoustics by Jan Abshagen added.

Recent Publications

J. Reermann, E. Elzenheimer and G. Schmidt: Real-time Biomagnetic Signal Processing for Uncooled Magnetometers in Cardiology, IEEE Sensors Journal, January, 2019 (early access, doi:  10.1109/JSEN.2019.2893236)

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

Saturday Morning Physics 2018

The DSS team was invited to participate in the last of the "Saturday Morning Physics" (SMP) events in 2018. On December 8th, a Saturday of course, Thorben Kaak, Gerhard Schmidt, and Owe Wisch gave a talk on underwater signal processing. Pupils from all around Schleswig-Holstein were quite interested, especially in the basics of SONAR systems.