This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Shrinking feature sizes and process variations are of increasing concern in modern technology. It is urgent that we develop statistical interconnect timing models which are harmon...
In this paper, we propose a novel statistical model order reduction technique, called statistical spectrum model order reduction (SSMOR) method, which considers both intra-die and...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan, Yici Cai,...
A new algorithm is presented that combines performance and variation objectives in a behavioural model for a given analogue circuit topology and process. The tradeoffs between per...
Sawal Ali, Reuben Wilcock, Peter R. Wilson, Andrew...
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...