Winter Term 2020/21
Lecture: | Tuesday, 08:30 - 10:00, 43.2.103 |
Exercise: | Monday, 10:00 - 11:30 |
The course "Signal Theory" will provide a deeper look into stochastic and deterministic signals, in particular their characterization and estimation. Signals with specific structure, in particular topics in sampling and reconstruction and Compressed Sensing are covered.
Random Variables and Estimation
Random Processes and Estimation
Signals with Structure and Reconstruction / Estimation
The lecture and the related exercises are organized via Moodle.
Please register yourself in the moodle course, if you are interested in participating in this lecture.
The lecture starts on Tuesday, November 10, 8:30, in the BBB-room in Moodle.
The first exercise will be given on Monday, November 16, 10:00.
Stochastic Processes / Detection
Digital Signal Processing / Compressed Sensing
Lecture: | Tuesday, 08:30 - 10:00, 43.2.103 |
Exercise: | Monday, 10:00 - 11:30 |
Lecturer:
Prof. Dr.-Ing. Robert Fischer
Supervisor:
Carmen Sippel, M.Sc.
Deutsch
Signals and Systems
Engineering Mathematics
Hours per Week: 2V + 2Ü
6 ECTS Credits
LSF ENGC 72272
Link to Moodle: Moodle