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» Performance modeling using Monte Carlo simulation
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JDCTA
2010
188views more  JDCTA 2010»
14 years 10 months ago
Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo
BMCBI
2011
14 years 11 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
ISPDC
2008
IEEE
15 years 10 months ago
Performance Analysis of Grid DAG Scheduling Algorithms using MONARC Simulation Tool
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Florin Pop, Ciprian Dobre, Valentin Cristea
WSC
1997
15 years 5 months ago
Sensitivity of Output Performance Measures to Input Distributions in Queueing Simulation Modeling
With modern simulation packages, the modeler can choose almost any standard statistical distribution for generating input random variables. The question arises as to how sensitive...
Donald Gross, Man Juttijudata
MCS
2008
Springer
15 years 3 months ago
The role of "leads" in the dynamic OLS estimation of cointegrating regression models
In this paper, we consider the role of "leads" of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. Specific...
Kazuhiko Hayakawa, Eiji Kurozumi