The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
We develop a detailed approach to study how mobilityimpacts the performance of reactive MANET routing protocols. In particular we examine how the statistics of path durations inclu...
Narayanan Sadagopan, Fan Bai, Bhaskar Krishnamacha...