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TIT
2010
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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
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...
BMCBI
2011
13 years 1 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
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