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