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GLOBECOM
2009
IEEE
14 years 1 months ago
Super-Gaussian Loading for Robust Beamforming
— It is well known that the performance of adaptive beamformers may degrade in the presence of steering errors. In this context, diagonal loading is one of the most popular metho...
Jing Gu, Patrick J. Wolfe
CIARP
2006
Springer
14 years 1 days ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 11 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
JSAC
2006
89views more  JSAC 2006»
13 years 10 months ago
Robust multiuser detection for multicarrier CDMA systems
Abstract--Multiuser detection (MUD) for code-division multiple-access (CDMA) systems usually relies on some a priori channel estimates, which are obtained either blindly or by usin...
Rensheng Wang, Hongbin Li, Tao Li
ATMOS
2007
138views Optimization» more  ATMOS 2007»
13 years 11 months ago
A new concept of robustness
In this paper a new concept of robustness is introduced and the corresponding optimization problem is stated. This new concept is applied to transportation network designs in which...
Ricardo García, Ángel Marín, ...