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 01.03.2023 at 08:00 am and ends the 05.04.2023 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 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, 05.04.2023 at 11:59 pm. All later cancellations of registration will be considered as having failed the lab. |
| Time: |
The first experiment takes place on the 26.04.2023 in KS2/Geb.G - PC-Labor. The corresponding documents will be distributed via E-mail. On Wednesday: 14:00- 17:30h |
| 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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The Physikalisch-Technische Bundesanstalt (PTB) in Berlin invited Eric to give a talk as part of their colloquium for the Department 8.2 Biosignals. In his presentation titled "Magnetoelectric Thin-film Sensors Toward Biomagnetic Sensor Systems", Eric discussed the latest advancements in the field of magnetoelectric (ME) sensors and their prospective application in biomagnetic sensor systems.