Digital Signal Processing

11M0495

Master

German, English

5.0

only winter term

1 semester

The processing of analogue signals from various fields is increasingly being carried out digitally. Students receive a systematic introduction to the theory and applications of fundamental phenomena and systems on a mathematical basis.

1. Mathematical fundamentals
2. Discrete signals and systems (convolution, state space, correlation)
3. Sampling
4. Random processes and key figures
5. Spectral analysis
6. Z-transform
7. Filter design
8. Selected applications

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Written examination or
• oral exam

• Field work / Experimental work

Written or oral examination at the lecturer's discretion.

Graded examination performance:

• Written examination: see the applicable study regulations
• Oral examination: see the general section of the examination regulations

Ungraded examination performance:

• Experimental work: Experiment: approx. 8 experiments in total

Fourier analysis, Fourier transform, Laplace transform, transfer functions, frequency responses, sampling theorem, Bode diagrams, stability, design of analogue filters.

Graduates are familiar with the various forms of representation of discrete signals and systems. They can classify the terms in a mathematical context (signal spaces) and are able to implement elementary filtering methods.

Graduates of this module use digital signal processing methods (window techniques, filters, correlation, etc.) in accordance with the requirements of the technical application.

Graduates will be able to apply the methods taught in the lecture and will have knowledge of the relevant tools for numerical synthesis and analysis (Matlab, Octave, Scilab, etc.).

• Rehm, Ansgar

• Rehm, Ansgar