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ISQED
2007
IEEE
151views Hardware» more  ISQED 2007»
14 years 1 months ago
Gate Level Statistical Simulation Based on Parameterized Models for Process and Signal Variations
We propose gate level statistical simulation to bridge the gap between the most accurate Monte Carlo SPICE simulation and the most efficient circuit level statistical static timi...
Bao Liu
TIP
2010
164views more  TIP 2010»
13 years 2 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 1 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
DATE
2008
IEEE
76views Hardware» more  DATE 2008»
14 years 2 months ago
Signal Probability Based Statistical Timing Analysis
VLSI timing analysis and power estimation target the same circuit switching activity. Power estimation techniques are categorized as (1) static, (2) statistical, and (3) simulatio...
Bao Liu
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 7 months ago
Parametric Yield Analysis of Mems via Statistical Methods
This paper considers a developing theory on the effects of inevitable process variations during the fabrication of MEMS and other microsystems. The effects on the performance and ...
Shyam Praveen Vudathu, Kishore K. Duganapalli, Rai...