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This paper presents a method to compute criticality probabilities of paths in parameterized statistical static timing analysis (SSTA). We partition the set of all the paths into several groups and formulate the path criticality into a joint probability of inequalities. Before evaluating the joint probability directly, we simplify the inequalities through algebraic elimination, handling topological...
We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
The lack of reference maps has been the constraint factor in underwater geophysical field of earth (GFE) aided navigation research, because the developed positioning algorithms can not be verified by accurate GFE-distribution patterns enough. After analysis of positioning modes in underwater navigation, two-dimensional scalar field can be concluded as the common mathematical fundamental. Combined...
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