Sprache der Veranstaltung:
  • Englisch
Termin Vorlesung:
  • Mo 14:00-18:00 oder n.V.
    LMS lab room N 6.13 (Cauerstr. 7)
Leistungspunkte:
  • 2,5 ECTS
UnivIS Links:

News

1.9.2019: You can register for this course on StudOn. The registration will start at the beginning of October. Further information on this will follow soon.  

Content

After a short introduction to Python, the following topics are covered:

  • Basic properties of random variables and stochastic processes

  • Properties of correlation matrices, Principal Component Analysis, KLT

  • Parametric and non-parametric linear signal models

  • MMSE-based signal estimation

  • Kalman Filtering with applications to acoustic source tracking

  • Optimal multichannel filtering approaches

  • Introduction to adaptive filtering

In the second part of the course, the students will work in small groups independently on projects covering a topic from current research.

Schedule

The lab will start approximately at the beginning/mid of December. All participants will meet beforehand to discuss all details. For this, you will receive a separate mail.

Place

The course will take place in the lab rooms of LMS, Cauerstr. 7, 91058 Erlangen (6th floor).

Registration

You have to register for the course on StudOn (12 free places). The registration will start at the beginning of October. Further information on this will follow soon.