Computational Experiments in Digital Signal Processing

Course content

After completing this module including the computer exercise, students will have basic knowledge on the tools of digital signal processing in the time and frequency domain and can apply these tools to corresponding problems. In accordance with the didactic concept of the course and the design of the individual components, general qualifications are imparted or practiced. As part of the computer exercise and the associated colloquium, these are documentation, interviewing and presentation techniques as well as teamwork in the lab.

  • Discrete-time signals and systems
  • Fourier transforms •
  • Z-transforms and applications •
  • Discrete-time IIR filter design
  • Discrete-time FIR filter design •
  • Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) •
  • Basics of multi-rate processing and filter banks

Course information

Code 2424009
Degree programme(s) Electrical Engineering, Industrial and Electrical Engineering, Electronic Automotive Systems, Automotive and Aerospace Systems, Computer Science, Computer and Communication Systems Engineering, Metrology and Analytics
Lecturer and contact person Prof. Dr.-Ing. Tim Fingscheidt
Type of course Laboratory course
Semester Summer semester
Language of instruction German with English support materials
Level of study Bachelor, Master
ECTS credits