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» Statistical timing analysis using Kernel smoothing
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DATE
2005
IEEE
132views Hardware» more  DATE 2005»
14 years 2 months ago
Statistical Timing Analysis using Levelized Covariance Propagation
Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this paper, we propose a new algorithm for...
Kunhyuk Kang, Bipul Chandra Paul, Kaushik Roy
DAC
2007
ACM
14 years 9 months ago
Fast Second-Order Statistical Static Timing Analysis Using Parameter Dimension Reduction
The ability to account for the growing impacts of multiple process variations in modern technologies is becoming an integral part of nanometer VLSI design. Under the context of ti...
Zhuo Feng, Peng Li, Yaping Zhan
ASPDAC
2008
ACM
200views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Non-Gaussian statistical timing analysis using second-order polynomial fitting
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
Lerong Cheng, Jinjun Xiong, Lei He
ICPR
2006
IEEE
14 years 9 months ago
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
Henrik Malm, Eric Warrant
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 1 months ago
Statistical static timing analysis using Markov chain Monte Carlo
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...