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TCAD
2010
164views more  TCAD 2010»
12 years 11 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
VLSID
2005
IEEE
123views VLSI» more  VLSID 2005»
14 years 5 months ago
Variance Reduction in Monte Carlo Capacitance Extraction
In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
Shabbir H. Batterywala, Madhav P. Desai
DATE
2010
IEEE
119views Hardware» more  DATE 2010»
13 years 5 months ago
Practical Monte-Carlo based timing yield estimation of digital circuits
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
Javid Jaffari, Mohab Anis
DATE
2010
IEEE
122views Hardware» more  DATE 2010»
13 years 5 months ago
Correlation controlled sampling for efficient variability analysis of analog circuits
The Monte Carlo (MC) simulation is a well-known solution to the statistical analysis of analog circuits in the presence of device mismatch. Despite MC's superior accuracy comp...
Javid Jaffari, Mohab Anis
BMCBI
2010
122views more  BMCBI 2010»
13 years 5 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen