Fast and Accurate Statistical Criticality Computation Under Process Variations
نویسندگان
چکیده
منابع مشابه
Accurate optical flow computation under non-uniform brightness variations
In this paper, we present a very accurate algorithm for computing optical flow with nonuniform brightness variations. The proposed algorithm is based on a generalized dynamic image model (GDIM) in conjunction with a regularization framework to cope with the problem of non-uniform brightness variations. To alleviate flow constraint errors due to image aliasing and noise, we employ a reweighted l...
متن کاملFast and Accurate Parametric Curve Length Computation
This paper describes a simple technique for evaluating the length of a parametric curve. The technique approximates sections of the curve to the arc of a circle using only sample points on the curve: no computation of derivatives or other properties is required. This method is almost as quick to implement and compute as chord-length summation but is much more accurate : it also provides recursi...
متن کاملFast Horizon Computation for Accurate Terrain Rendering
To render a terrain that is represented by many sample points, we must determine what part of the sky is visible from each sample point. The direct primary illumination of each point can then be computed for any distribution of sky illumination. This paper presents an eecient and practical method to compute the horizon, or skyline, at all sample points on a terrain. For a large terrain of 915; ...
متن کاملFast and Accurate Statistical Q-factor computation for impairment-aware RWA problems
Physical layer impairments (PLI) need to be considered in the Routing and Wavelength Assignment (RWA) process in all-optical networks to ensure the provisioning of good quality optical connections (i.e., lightpaths). The quality of the provisioned lightpaths can be quantified using the so-called Q-factor. Impairment-aware RWA (IA-RWA) algorithms include the Q-factor evaluation in their decision...
متن کاملFast and Accurate Business Process Drift Detection
Business processes are prone to continuous and unexpected changes. Process workers may start executing a process differently in order to adjust to changes in workload, season, guidelines or regulations for example. Early detection of business process changes based on their event logs – also known as business process drift detection – enables analysts to identify and act upon changes that may ot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
سال: 2009
ISSN: 0278-0070,1937-4151
DOI: 10.1109/tcad.2009.2013278