Lab "Embedded Signal Processing"


Basic Information
Lecturers: Frederik Kühne
Room: PC Lab, Building B
Language: German
Target group: Students in electrical engineering and information technology as well as students in electrical engineering, information technology and business management
Prerequisites: Signals and systems I,II
Registration procedure:

Please note, that the registration period starts the 02.03.2022 at 08:00 am and ends the 15.04.2022 at 11:59 pm. All applications before and after this registration period will not be taken into account.

Registration will be possible within the before mentioned time by sending an e-mail to the following address: This email address is being protected from spambots. You need JavaScript enabled to view it..

The registration is binding. A deregistration is possible by sending a mail with your name and matriculation number to This email address is being protected from spambots. You need JavaScript enabled to view it. until, 15.04.2022 at 11:59 pm. All later cancellations of registration will be considered as having failed the lab.


The first experiment takes place on the 27.04.2022 in KS2/Geb.G - PC-Labor. The corresponding documents will be distributed via E-mail.

On Wednesday: 14:15- 17:45h


The presented lab "Embedded Signal Processing" is intended to prepare students for practical work in digital signal processing. Typical signal processing algorithms will be implemented during the lab on a signal processing platform using the C/C++ programming language. In addition, the lab deepens the theoretical knowledge of the two signal and systems lectures.

The contents of the lab is the following:

  • Introduction to the hardware and the programming language
  • Implementation of an analysis filter bank
  • Implementation of a synthesis filter bank
  • Implementation of highpass- and bandpass filtering (frequency domain)
  • Implementation of signal modulation (frequency domain)
  • Implementation of a single-channel communication
  • Introduction to the noise reduction
  • Implementation of the modules of the noise reduction



The final group assignment can be found below.

Please note that not every day/group wish could be considered for the assignment!

Group Students (matriculation numbers)
1 1147748
2 1149307
3 1150356




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