Chair of
Multimedia Communications and Signal Processing
Prof. Dr.-Ing. André Kaup

Welcome to the Chair of Multimedia Communications and Signal Processing.

The chair belongs to the Department of Electrical, Electronic and Communication Engineering of the Faculty of Engineering. It is headed by Prof. Dr.-Ing. André Kaup, associated is the group of Prof. Dr.-Ing. Walter Kellermann.

Research

   

Video Signal Processing and Transmission: Within the area of video coding and transmission emphasis is on development of signal processing methods for image and video coding at low data rates and for quality improvement in noisy video signals or such which are received with transmission errors.

 

Audio Communications and Computational Acoustics: The field of audio communications and computational acoustics develops algorithms for recording and reproduction of audio signals and verifies their performance by experiments.

 

Multidimensional Signals and Systems Theory: Within the area of video coding and transmission emphasis is on development of signal processing methods for image and video coding at low data rates and for quality improvement in noisy video signals or such which are received with transmission errors.

Teaching

We offer lectures, Project Theses, Research Internships and Theses in a variety of Bachelor and Master programmes of the Faculty of Engineering, e.g. in Electrical, Electronic and Communication Engineering, Information and Communication Technology, Medical and Health Engineering, Industrial Engineering and Management, as well as in the international study programmes Communications and Multimedia Engineering and Computational Engineering.

Summer Term   Winter Term   Offered Theses
 

Special events and activities

  EMSig CME

Seminar Lectures

  • Reiser, Benedikt
    Master Thesis, Intermediate Presentation :
    "Runtime-adapted Parallelization of Frequency Selekctive Extrapolation using OpenMPI"
    2017-05-29 10:00
    Room: 00.071
  • Lukas Schürmann
    Bachelor Thesis, Final presentation:
    "Analysis of Various Combinations and Processing Orders of Spatio-Temporal Video Super-Resolution Methods for Compressed Video Sequences"
    2017-05-29 10:00
    Room: 00.071
  • Michael Slavik
    Master Thesis, Final presentation:
    "Determination of Relevant Support Frames for Multi-Image Super-Resolution Approaches Using Machine Learning"
    2017-05-29 10:00
    Room: 00.071
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