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DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 2 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
ICPR
2008
IEEE
14 years 2 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
SCALESPACE
2009
Springer
14 years 2 months ago
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
Miyoun Jung, Luminita A. Vese
ASPDAC
2007
ACM
133views Hardware» more  ASPDAC 2007»
13 years 12 months ago
Modeling Sub-90nm On-Chip Variation Using Monte Carlo Method for DFM
- For sub-90nm technology nodes and below, random fluctuations of within-die physical process properties are also known as random on-chip variation (OCV). It impacts on the VLSI/So...
Jun-Fu Huang, Victor C. Y. Chang, Sally Liu, Kelvi...
ICCAD
2006
IEEE
147views Hardware» more  ICCAD 2006»
14 years 4 months ago
Analysis and modeling of CD variation for statistical static timing
Statistical static timing analysis (SSTA) has become a key method for analyzing the effect of process variation in aggressively scaled CMOS technologies. Much research has focused...
Brian Cline, Kaviraj Chopra, David Blaauw, Yu Cao