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

Information exercise: 

Please note that the exercise on Monday 03 June will be after the lecture (11:30) in KS2/Geb.C - SR II.

Additionally, the complete exercise on Monday 10 June will be shifted to 11:00 - 12:30 in KS2/Geb.C - SR II.

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
  Exercise 2: Quantization
    Exercise 3: Reconstruction
    Exercise 4: Sample Rate Conversion / Convolution
    Exercise 5: Discrete Fourier Transform (DFT) / Radix-2-FFT
    Exercise 6: FFTs of real and complex signals
    Exercise 7: Windowing effects
    Exercise 8: Signal-flow graph
    Exercise 9: Rounding effects in digital filters
    Exercise 10: Rounding effects in digital filters
    Exercise 11: Signal-flow graph
    Exercise 12: Signal-flow graph
    Exercise 13: Filter

 

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.

Date   Time   Students (matriculation numbers)   Assessor
21.07.2017   10:30 h   1023479   Eric Elzenheimer
16.08.2017   10:30 h   1033430, 1023418   Eric Elzenheimer
06.09.2017   10:30 h   1032652   Eric Elzenheimer
02.10.2017   10:30 h   1022054, 1030685   Eric Elzenheimer

 

Website News

03.12.2017: Added pictures from our Sylt meeting.

01.10.2017: Started with a Tips and Tricks section for KiRAT.

01.10.2017: Talks from Jonas Sauter (Nuance) and Vasudev Kandade Rajan (Harman/Samsung) added.

13.08.2017: New Gas e.V. sections (e.g. pictures or prices) added.

Recent Publications

J. Reermann, P. Durdaut, S. Salzer, T. Demming, A. Piorra, E. Quandt, N. Frey, M. Höft, and G. Schmidt: Evaluation of Magnetoelectric Sensor Systems for Cardiological Applications, Measurement (Elsevier), ISSN 0263-2241, https://doi.org/­10.1016/­j.measurement.2017.09.047, 2017

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

Jugend Forscht

On November 24th, one of our DSS team members, Owe Wisch, took part in the "Jugend forscht Perspektivforum" at the CAU. Thirty young students from the "Jugend forscht" project came to Kiel and participated in three different workshops focusing on career paths in maritime climate protection. Owe Wisch from our chair lead one of the workshops and presented his research topics, beamforming ...


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