Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
Traditional corner analysis fails to guarantee a target yield for a given performance metric. However, recently proposed solutions, in the form of statistical timing analysis, whi...
Abstract. This paper presents the design, implementation and experimental analysis of a distributed, real-time MPEG video and audio player. The player is designed for use across th...
Shanwei Cen, Calton Pu, Richard Staehli, Crispin C...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
In this paper we analyze the traditional model of interrupt management and its inability to incorporate the reliability and temporal predictability demanded by real-time systems. ...