- Dozent/in: Peter Nauth

- Dozent/in: Gernot Zimmer
Project: Mobile Computing Project - WS 2020/21
- Dozent/in: Gregor Frick
- Dozent/in: Besfort Shala
- Dozent/in: Prarthi Sharma
- Dozent/in: Ulrich Trick
Lecture and Project: Mobile Computing - WS 2020/21
- Dozent/in: Gregor Frick
- Dozent/in: Besfort Shala
- Dozent/in: Prarthi Sharma
- Dozent/in: Ulrich Trick
Lecture: Methods, Systems and Networks for Digital Communication - WS 2020/21
- Dozent/in: Alexander Seng
- Dozent/in: Besfort Shala
- Dozent/in: Ulrich Trick
- Dozent/in: Gregor Frick
- Dozent/in: Besfort Shala
Make sure that you can access your stud.fra-uas.de e-mail.
You must be registered in the course with your stud.fra-uas.de e-mail. Other addresses will not be admitted to the course.
- Dozent/in: Besfort Shala
Only for document submission.
- Dozent/in: Andreas Pech
Only for submission of documents
- Dozent/in: Andreas Pech
Laboratory Digital Switching and Routing in SS 2020
- Dozent/in: Gregor Frick
- Dozent/in: Besfort Shala
- Dozent/in: Ulrich Trick
- Dozent/in: Besfort Shala
- Dozent/in: Ulrich Trick
- Dozent/in: Johannes Bader
- Dozent/in: Egbert Falkenberg
- Dozent/in: Andreas Pech
Upon completion of the module the students are able to:
- analyze stochastic processes in information and communication systems,
- judge estimation methods for parameter estimation on stochastic signals,
- summarize the theory of non-recursive and recursive optimum systems,
- choose appropriate optimum systems for information and communication,
- create recursive estimators and predictors, describe colored noise as well as correlated measurement noise.
- create extended Kalman filters.
The module contains lectures and exercises.
- analyze stochastic processes in information and communication systems,
- judge estimation methods for parameter estimation on stochastic signals,
- summarize the theory of non-recursive and recursive optimum systems,
- choose appropriate optimum systems for information and communication,
- create recursive estimators and predictors, describe colored noise as well as correlated measurement noise.
- create extended Kalman filters.
The module contains lectures and exercises.
- Dozent/in: Andreas Pech
- Dozent/in: Mohammadreza Mansooji
- Dozent/in: Prof. Dr. Wolfgang Stief
- Dozent/in: Mohammadreza Mansooji
- Dozent/in: Gernot Zimmer
- Dozent/in: Mohammadreza Mansooji
- Dozent/in: Gernot Zimmer
- Dozent/in: Mohammadreza Mansooji
- Dozent/in: Gernot Zimmer