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TIT
2010
163views Education» more  TIT 2010»
13 years 2 months ago
Power-controlled feedback and training for two-way MIMO channels
Most communication systems use some form of feedback, often related to channel state information. The common models used in analyses either assume perfect channel state information...
Vaneet Aggarwal, Ashutosh Sabharwal
TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TSP
2010
13 years 2 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
TVLSI
2010
13 years 2 months ago
Variation-Aware System-Level Power Analysis
Abstract-- The operational characteristics of integrated circuits based on nanoscale semiconductor technology are expected to be increasingly affected by variations in the manufact...
Saumya Chandra, Kanishka Lahiri, Anand Raghunathan...
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