The Signal Processing course (6 CP) was created by merging the two courses “Sensorics” (taught in English) and “Signal Processing” (taught in German). The new course is taught entirely in English. While the Signal Processing course syllabus covers all topics from the two previous courses, four chapters focusing on measurement devices and techniques are no longer part of the course or the exam. See below for details.

Course Contents:

1. Introduction to Measurement Techniques
2. Measurement of Electrical Quantities (removed from the course)
3. Measurement of Non-Electrical Quantities (removed from the course)
4. Digital Measurement Techniques 
5. Measurement Errors and Statistics (removed from lecture)
6. Static and Dynamic Behavior of Sensors (removed from lecture)
7. Introduction to Signal Processing
8. Discrete-Time Systems and Signals
9. Transformation into the Frequency Domain (Discrete Fourier Transform)
10. Filters
11. Selected Methods in Signal Processing
12. Stochastic Signals

Exam Instructions:

• A four-page formula sheet (two sheets printed double-sided, or four sheets printed single-sided) is permitted as an aid. It is recommended that you write out the formula sheet yourself.
• A calculator may be required for some problems.
• A set square may be required for some problems to measure angles.

Software:

Matlab/Simulink is an important software tool in control engineering; it is therefore often used for examples in this course. Many of the necessary commands are included in an add-on called the Control System Toolbox. If you do not have access to MATLAB or the aforementioned toolbox, we recommend the alternative software Scilab/Xcos, which can be downloaded for free from the Internet. The software offers a very wide range of functions and covers all the areas necessary for this course. Furthermore, it is very similar to MATLAB/Simulink in terms of usage.

Contact:

M.Sc. Max Herkersdorf
M.Sc. Timo Pütz