Lecture Language:
  • English
Hours (Lecture):
  • Tue 9:00-12:00
    Mo 13:00-16:00
    LMS lab, room 03.215, Wetterkreuz 15, Erlangen-Tennenlohe
Time Lecture:
  • 3
UnivIS Links:

After an introduction to scientific programming with Python, experiments and exercises related to the following topics are carried out during the laboratory course:

  • Fundamental properties of random variables and stochastic processes

  • Properties of correlations matrices, Principal Component Analyis, KLT

  • Parametric and non-parametric linear signal models

  • MMSE signal estimation

  • Kalman filtering with applications to source tracking

  • Optimum multichannel filtering

  • Introduction to adaptive filtering.

In the second phase of the lab course, the students will work in small project teams on relevant research problems.


You can find a schedule here. Check it regularly since there might be changes!

Lab facilities

Computer labs at the Chair of Multimedia Communications and Signal Processing, Wetterkreuz 15, 91058 Erlangen.


You have to register for this course. For this, get member of the StudOn group.