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CORR
2007
Springer
93views Education» more  CORR 2007»
13 years 8 months ago
Opportunistic Scheduling and Beamforming for MIMO-SDMA Downlink Systems with Linear Combining
Opportunistic scheduling and beamforming schemes are proposed for multiuser MIMO-SDMA downlink systems with linear combining in this work. Signals received from all antennas of ea...
Man-On Pun, Visa Koivunen, H. Vincent Poor
ICASSP
2009
IEEE
14 years 3 months ago
Inpainting with sparse linear combinations of exemplars
We introduce a new exemplar-based inpainting algorithm that represents the region to be inpainted as a sparse linear combination of example blocks, extracted from the image being ...
Brendt Wohlberg
MCS
2009
Springer
14 years 1 months ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
ICC
2007
IEEE
14 years 3 months ago
Optimal Diversity Combining Based on Linear Estimation of Rician Fading Channels
—Optimal receiver diversity combining employing linear channel estimation is examined. Based on the statistical properties of pilot-assisted least-squares (LS) and minimum mean s...
Jingxian Wu, Chengshan Xiao
DAGM
2006
Springer
14 years 13 days ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli