Sensor Systems
| Degree programme | Mechatronics |
| Subject area | Engineering Technology |
| Type of degree | Master Full-time Winter Semester 2023 |
| Course unit title | Sensor Systems |
| Course unit code | 024612030101 |
| Language of instruction | German, English |
| Type of course unit (compulsory, optional) | Compulsory optional |
| Teaching hours per week | 4 |
| Year of study | 2023 |
| Level of the course / module according to the curriculum | |
| Number of ECTS credits allocated | 6 |
| Name of lecturer(s) | Steffen FINCK, Vana JELICIC, Reinhard SCHNEIDER |
Fourier/Laplace Transform, Z-Transform, Mathematical basics in statistics and linear algebra.
- Basic algorithms in signal processing (1D and 2D), i.e: DFT, FFT, Chirp-Z, fast convolution, etc.;
- Images in spacial and frequency domain;
- statistical properties of images; color spaces;
- selected algorithms for feature extracting;
- least square estimation; random distributions; recursive estimation algorithms (i.e. Kalman);
- Project work with non-linear digital signal processing systems (e.g. beamforming system, non-linear system identification, ...)
- Students are able to apply fundamental techniques of digital signal processing in 1D and 2D in a target - specific way considering pros and cons of the individual techniques.
- They are able to condition sensor signals, to make statistical evaluations and interpret the results.
- They are able to handle basic methods and combinations of them to extract features of signals.
- They can estimate the reliability of the results.
Students have experience in scientific approach of problem solving.
Lectures, calculation exercises, computer exercises, project work.
- Exam (50%) and
- Project (50%)
For a positive grade, a minimum of 50% of the possible points must be achieved in each part of the examination.
Not applicable
- Oppenheim, Alan V.; Willsky, Alan S.; Nawab, Syed Hamid (1997): Signals & systems. 2nd ed. Upper Saddle River, N.J: Prentice Hall (= Prentice-Hall signal processing series).
- Stark, Hans-Georg (2005): Wavelets and signal processing: an application-based introduction. Berlin; New York: Springer. Online im Internet: http://site.ebrary.com/id/10228999 (Zugriff am: 29.08.2016).
- Hoffmann, Josef; Quint, Franz (2012): Signalverarbeitung mit MATLAB und Simulink: anwendungsorientierte Simulationen. 2. Aufl. München: Oldenbourg.
- Meyer, Martin (2011): Signalverarbeitung. Wiesbaden: Vieweg+Teubner. Online im Internet: http://link.springer.com/10.1007/978-3-8348-8138-0 (Zugriff am: 08.02.2017).
- Gonzalez, Rafael C.; Woods, Richard E. (2018): Digital Image Processing. 4th edition. New York: Pearson.
- Sonka, Milan; Hlavac, Vaclav; Boyle, Roger (1993): Image processing, analysis, and machine vision. 1st ed. London; New York: Chapman & Hall Computing (= Chapman & Hall computing series).
face-to-face