| Detailed information |
| Original study plan |
Master's programme Electronics and Information Technology 2025W |
| Learning Outcomes |
Competences |
| See correspondent lecture.
|
|
| Skills |
Knowledge |
| See correspondent lecture.
|
See correspondent lecture.
|
|
| Criteria for evaluation |
Hausübungen sind hochzuladen und werden beurteilt.
|
| Methods |
- Demonstration of examples
- Matlab examples
- Homework
|
| Language |
English |
| Study material |
- Lecture Slides
- S. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, Rhode Island 1993.
- D.G. Manolakis, V.K. Ingle, S.M. Kogon, Statistical and Adaptive Signal Processing, Artech House, 2005.
|
| Changing subject? |
No |
| Further information |
This exercise course and the corresponding lecture form an inseparable didactic unit. The presented learning outcomes are achieved through the interaction of the lecture and the exercise course.
|
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
489INTEOASU17: UE Optimum and Adaptive Signal Processing Systems (2017W-2022S)
489WSIVOASU14: UE Optimum and Adaptive Signal Processing Systems (2014W-2017S)
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