Signal processing with microprocessors 1

The course will not take place this semester.

Learning objectives:
Mathematical foundations and models of different methods of digital signal processing, Laplace transform, Fourier transform, z-transform, digital filter systems.

Learning content:
Shannon theorem, Laplace transform, Fourier transform, z-transform, calculations of FIR and IIR filters for signal analysis, example applications from various applications.

Prior knowledge:
Prerequisites according to examination regulations: digital technology, mathematics, microprocessors or computer architecture, programming.
Recommended prerequisites: Programming skills, fundamentals of computer science, digital technology, microprocessors or computer architecture, mathematics.

Time and place:
to be announced

Lecturer:
Prof. Dr.-Ing. habil. Josef Börcsök

Scope:
4 SWS or 6 CP

Contact:
If you are interested, please send an email to Prof. Börcsök's office.