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

Welcome to the Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg

Our fields are the video signal processing and transmission, the audio signal processing and multidimensional systems and signal theory.

In various Bachelor and Master programs of the Faculty of Engineering, we offer lectures and exercises, and the two laboratory internships Multimedia Communications and Digital Signal Processing.

We work with research-oriented companies from Bavaria, Germany and around the world. Our regular third donors include the European Commission and the German Research Foundation.

The following project descriptions give a little insight into our current activities.

 

EDAS: Error Detection & Archiving System

The INI.FAU project EDAS aims at developing a framework for the automated detection and archiving of errors that might occur in infotainment systems during the development and testing phases of new cars. The main project comprises two sub-projects; the first one dealing with the automated detection of video errors occurring on the main display of the car, and the second one providing solutions for a high efficiency compression of the display video signal.

EU-Projekt DICIT - Distant-talking Interfaces for Control of Interactive TV

With the "Final Review Meeting", the 14 and 15.01.2010 was held on LMS, the EU project DICIT ("Distant-talking Interfaces for Control of Interactive TV") was completed successfully with the best possible project evaluation. The system developed under the responsibility of LMS acoustic audio group "front-end" was judged to be highlight of the project.

An impression of the effect of the resulting prototype provides the LMS produced on Video. More information can be found on the official website DICIT.

Predictive Circuit Protection Devices for DC-Nets

Lokale Gleichspannungs-Netze im kW-Bereich gewinnen an Bedeutung für Photovoltaik-Anlagen, bei dezentralen Batteriespeichern, in der Elektromobilität und anderen Anwendungen. Für den sicheren Betrieb von Gleichspannungsnetzen mit dynamischen Quell- und Lastprofilen sind neuartige Schutzorgane erforderlich. Dafür werden Schutzkonzepte entwickelt, die mittels modellbasierter Systemidentifikation den Stromverlauf prognostizieren. Im Fehlerfall kann damit der Abschalt- oder Begrenzungsvorgang bereits vor dem erreichen kritischer Stromwerte initiiert werden.

Die Bayerische Forschungsstiftung fördert seit Januar 2015 eine Zusammenarbeit zwischen der  E-T-A Elektrotechnische Apparate GmbH in Altdorf bei Nürnberg und dem Lehrstuhl für Multimediakommunikation und Signalverarbeitung.

SCENIC: Self-Configuring ENvironment-aware Intelligent aCoustic sensing

The SCENIC project is aimed at developing a comprehensive set of methodologies and analysis tools that will enable acoustic systems to become aware of their own characteristics and geometry and those of the environment that they operate in, and will enable advanced space-time processing solutions to take advantage of the additional information provided by the environment's acoustic response. Three research directions are pursued, two based on acoustic wavefield decomposition (modal and geometric) and one based on a point-to-point representation (channel identification).


For further information, please see the SCENIC web site.