—Safety-critical automotive systems must fulfill hard real-time constraints for reliability and safety. This paper presents a case study for the application of an AUTOSARbased l...
Kay Klobedanz, Christoph Kuznik, Andreas Thuy, Wol...
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Today’s heterogeneous embedded systems combine components from different domains, such as software, analogue hardware and digital hardware. The design and implementation of thes...
Andreas Herrholz, Frank Oppenheimer, Philipp A. Ha...
This paper presents a new approach to understand the event stream model. Additionally a new approximation algorithm for the feasibility test of the sporadic and the generalized mu...
This paper concerns both rhythm recognition and tempo analysis of expressive music performance based on a probabilistic approach. In rhythm recognition, the modern continuous spee...