Lecture Language:
  • German, English
Hours (Lecture):
  • siehe Studon
Credit Points:
  • 2.5 ECTS
Time Lecture:
  • 4
UnivIS Links:


In this laboratory course the theory from the lecture Digital Signal Processing is applied in practice, using the programming environment MATLAB. The topics include quantization, spectral analysis, FIR and IIR filter design, filter banks and adaptive filters.

The course requires previous experience in MATLAB programming. It is possible take the course in parallel to the DSP lecture. However, revision of the relevant lecture contents before each lab lesson, and participitation in the DSP exercises and tutorials is required.

The course consists of 5 exercises in which students work on programming problems in groups of two, and a 5-day block course where each group works on an individual project from the field of digital signal processing. The results of the previous excersises as well as the preparation of the excersises will be examined by a short written test at the beginning of each unit.


  • Registration via StudOn (link for registration) is required. The registration will be open from Oct. 10 to Nov. 5, 2017. Due to the number of expected participants, the course will be offered in two time slots.Important: Until October 31, 2017, all registrations are held on a waiting list and will be automatically assigned to free slots of the lab course. If there are more registrations than slots, lots will be drawn. After October 31, new registrations will be automatically assigned to free slots (if available).
  • The lab course will start with kick-off meetings on Thursday, November 9, 2017 at 9am - 10am, and on Friday, November 10, 2017, at 2pm - 3pm.
  • The exercises will take place on the following dates:
    Session Thursday, 8:30 - 12:30 Friday, 14:00 - 18:00
    1 November 16, 2017 November 17, 2017
    2 December 7, 2017 December 1, 2017, 14:30-18:30
    3 December 14, 2017 December 15, 2017
    4 January 11, 2018 January 12, 2018, 14:30-18:30
    5 January 25, 2018 January 26, 2018
  • Further information are to be found in the StudOn group (after registration).



Vorlesung Digitale Signalverarbeitung (vorher oder im selben Semester)