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» Simulation Modeling and Optimization using ProModel
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ICASSP
2011
IEEE
14 years 10 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
154
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Identification of ARMA models using intermittent and quantized output observations
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Damián Marelli, Keyou You, Minyue Fu
CODES
2005
IEEE
15 years 12 months ago
Memory access optimizations in instruction-set simulators
Design of programmable processors and embedded applications requires instruction-set simulators for early exploration and validation of candidate architectures. Interpretive simul...
Mehrdad Reshadi, Prabhat Mishra
144
Voted
WSC
2001
15 years 7 months ago
Simulation of a night taxi-bus service for the historical center of Rome
The Municipality of Rome plans to introduce a taxi-bus system as a night service. A micro-simulation model was developed to estimate the needed information. Two major topics regar...
Thomas Schulze, Marco Lemessi, Francesco Filippi
159
Voted
WSC
2007
15 years 8 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan