Signal processing with microprocessors 1

The course will not be held this semester.

Learning objectives:
Mathematical fundamentals 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.

Prerequisites:
Prerequisites according to exam regulations: digital technology, mathematics, microprocessors or computer architecture, programming.
Recommended Prerequisites: Programming skills, fundamentals of computer science, digital engineering, microprocessors or computer architecture, mathematics.

Location and time:
to be announced.

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

Scope:
4 SWS or 6 CP

Contact:
Interested students please send an email to the office of Prof. Börcsök.