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Klumpp, Caterina (2025) RFI Detection and Mitigation based on Artificial Intelligence. Master's, Karlsruhe Institute of Technology (KIT).
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| Item URL in elib: | https://elib.dlr.de/214013/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | RFI Detection and Mitigation based on Artificial Intelligence | ||||||||
| Authors: |
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| Date: | 2025 | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 116 | ||||||||
| Status: | Published | ||||||||
| Keywords: | RFI AI | ||||||||
| Institution: | Karlsruhe Institute of Technology (KIT) | ||||||||
| Department: | Institute of Radio Frequency Engineering and Electronics (IHE) | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Support TerraSAR-X/TanDEM-X operations | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||
| Deposited By: | Klumpp, Caterina | ||||||||
| Deposited On: | 15 May 2025 10:38 | ||||||||
| Last Modified: | 19 May 2025 10:42 |
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