Lab "Embedded Signal Processing"
| Basic Information | |
|---|---|
| Lecturers: | Sören Lange |
| Room: | KS2/Geb.G - PC-Labor |
| 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: |
If you want to sign up for this laboratory, you need to register with the following information in the registration form
Please note, that the registration period starts the 01.03.2027 at 08:00 am and ends the 05.04.2027 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 with your name and matriculation number to The registration is binding. A deregistration is possible by sending an e-mail with your name and matriculation number to Requirements, rules and commitments will be announced at the first experiment (attendance is mandatory). |
| Time: |
The first experiment takes place on the XX.04.2027 in KS2/Geb.G - PC-Labor. The corresponding documents will be distributed via E-mail. Further information follow as soon as available. |
| Contents: |
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:
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| Evaluation | |||
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| Current evaluation | Completed evaluations | ||
Since early summer, Julius Braun-Dullaeus, David Thesing and Martin Semmelrodt have joined the DSS team, bringing expertise in embedded systems, sensor hardware and physics. Julius has been connected to DSS throughout his studies, working on stochastic modeling and underwater signal processing. His current work focuses on a drone-based system for localizing and classifying magnetic objects. David continues his master’s research at DSS, combining thin-film sensor development with real-time signal processing for 3D SONAR beamforming. Martin joined in August after completing his master’s degree in theoretical physics. Having first encountered DSS through a collaboration at Müller-BBM, he now works on drone-based magnetic detection of underwater objects and will take over the project from Julius in January.