| Machine Learning in High-Frequency Technology and Radar (VL) |
| Subtitle: |
| This course is part of the module: Machine Learning in Electrical Engineering and Information Technology |
| Semester: |
| SoSe 24 |
| Course type: |
| Lecture |
| Course number: |
| lv3007_s24 |
| Lecturer: |
| Prof. Dr. Alexander Kölpin |
| Description: |
Modern high-frequency systems benefit massively from machine learning methods. In applications where rule-based algorithms reach their limits, these data-driven approaches enable a significant increase in resolution and accuracy. This is exemplified by current research challenges, namely for the classification of targets in autonomous driving radar systems, radar-based gesture recognition for smart home applications and device control as well as in the field of medical technology for the contactless monitoring of human vital signs. |
| Performance accreditation: |
| m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul> |
| ECTS credit points: |
| 1 |
| Stud.IP informationen about this course: |
Home institute: Institut für Hochfrequenztechnik (E-3)
Registered participants in Stud.IP: 1
|
