052600 VU Signal and Image Processing (2020W)
- Registration is open from Mo 14.09.2020 09:00 to Mo 21.09.2020 09:00
- Deregistration possible until We 14.10.2020 23:59
Classes (iCal) - next class is marked with N
Depending on the current situation of the ongoing pandemic, lectures will be held either in-person in the lecture hall or online via Big Blue Button sessions. Information on the lecture format will be announced on the Moodle homepage of the course.
Aims, contents and method of the course
Assessment and permitted materials
Two reaction sheets: 4%
Final: 25%By answering questions about the content of the video lectures prior to the in-class review sessions, it is possible to earn bonus points that count towards the total number of points.
Minimum requirements and assessment criteria
Recommended prerequisites: NUMThe grading scale for the course is:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%
* Understanding the theory of signals and linear time-invariant systems.
* Becoming familiar with spectral transformations and data compression algorithms.
* Being able to implement common transformations in Python and applying them to time-series and images.
2. Donald B. Percival, Andrew T. Walden, Spectral Analysis for Physical Applications, Cambridge University Press, 1993
3. Rafael C. Gonzales, Richard E. Woods Digital Image Processing 4th edition, Addison-Wesley, 2018.