Lecture "Digital Signal Processing"

Basic Information

Lecturers:   Gerhard Schmidt (lecture) and Eric Elzenheimer (exercise)
Room:   Building C - SR II (lecture and exercise)
Language:   German
Target group:   Students of Electrical Engineering and Computer Engineering in their
6th semester, also for students of Computer Science or Physics with appropriate knowledge of signals and systems.
Prerequisites:   Mathematics for engineers I, II, III, Foundations in electrical engineering I, II
Contents:  

Topic overview:

  • Signal digitization
    • analogue-to-digital and digital-to-analogue conversion
    • quantization characteristics, quantization noise
    • sample and hold
    • sampling of functions and sequences with/without phase shift, down- and up-sampling (decimation, interpolation)
  • Spectra (DFT and FFT)
    • convolution via DFT, fast DFT evaluation
    • radix-2/DIT FFT and alternatives
    • transformation of real sequences, "pruning" and "zoom" FFT
    • spectral analysis of infinite sequences (windowing, periodograms of random signals)
  • Digital filters
    • difference and state equations
    • equivalent realisations/transformed structures, diagonal form, transition matrix
    • realisation effects (input, arithmetic, and coefficient errors)
References:  

    Rabiner, L. R.; Schafer, R. W.: Digital Processing of Speech Signals, Prentice-Hall, 1978
    Kondoz, A. M.: Digital Speech-Coding for Low Bit Rate Communications System, John Wiley & Sons, 1994
    von Grünigen, Daniel: Digitale Signalverarbeitung, Hanser, 2014

 

News

Please register in the online booking system. You can find the booking system here. Exams take place in room D-013.

Lecture slides

  Slides of the lecture "Introduction"
(Introduction, boundary conditions of the lecture)
  Slides of the lecture "Signals"
(Signal types, AD and DA conversion, sample rate conversion)
  Slides of the lecture "Spectra"
(DFT, FFT, fast convolution)
  Slides of the lecture "Filter"
(Structures, state space desciption, realization)

 

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 and Quantization
  Exercise 2: Reconstruction
    Exercise 3: Sample Rate Conversion / Convolution
    Exercise 4: Discrete Fourier Transform (DFT) / Radix-2-FFT
    Exercise 5: FFTs of real and complex signals
    Exercise 6: Windowing effects
    Exercise 7: Signal-flow graph
    Exercise 8: Filter
    Exercise 9: Signal-flow graph

 

Exams

Below is the list of students with their exam dates. If you do not have a date for the exam yet please register in the online booking system. You can find the booking system here. Exams take place in room D-013.

Date   Time   Students (matriculation numbers)   Assessor
01.04.2019   11:00 h   1016220   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.