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» Introduction to Monte Carlo simulation
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WSC
1998
14 years 11 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
VTC
2010
IEEE
113views Communications» more  VTC 2010»
14 years 8 months ago
Design of Fixed-Point Processing Based Turbo Codes Using Extrinsic Information Transfer Charts
—The operand-width specifications in fixed-point hardware implementations of turbo code decoders is an important design issue, since this governs the trade-off between the deco...
Liang Li, Robert G. Maunder, Bashir M. Al-Hashimi,...
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
15 years 10 months ago
Timing Yield Calculation Using an Impulse-Train Approach
This paper presents a new method to compute the probability distribution of the delay of a combinational circuit and uses it obtain an estimate of the yield of the process that ma...
Srinath R. Naidu
WSC
1998
14 years 11 months ago
A Parametric Version of Jackknife-after-Bootstrap
In this paper, we investigate the problem of deriving precision estimates for bootstrap quantities within parametric families. Efron's [1992] jackknife-after-bootstrap is a s...
Jin Wang
DATE
2010
IEEE
122views Hardware» more  DATE 2010»
14 years 10 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