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» Advanced Methods for Simulation Output Analysis
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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
WSC
1997
14 years 11 months ago
Business Process Modeling with SIMPROCESS
This paper gives an overview of business process modeling with SIMPROCESS, its applications, unique features, basic and advanced modeling constructs, and benefits. 1 WHAT IS SIMPR...
Scott Swegles
ICASSP
2010
IEEE
14 years 9 months ago
Stability analysis of an adaptive Wiener structure
In the context of digital pre-distortion, a typical requirement is to identify the power amplifier with stringently low computational complexity. Accordingly, we consider a simpl...
Robert Dallinger, Markus Rupp
70
Voted
ASPDAC
2007
ACM
133views Hardware» more  ASPDAC 2007»
15 years 1 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...
82
Voted
GLVLSI
2003
IEEE
186views VLSI» more  GLVLSI 2003»
15 years 2 months ago
A fast simulation approach for inductive effects of VLSI interconnects
Modeling on-chip inductive effects for interconnects of multigigahertz microprocessors remains challenging. SPICE simulation of these effects is very slow because of the large num...
Xiaoning Qi, Goetz Leonhardt, Daniel Flees, Xiao-D...