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ICASSP
2011
IEEE
14 years 1 months ago
Adaptive recursive FLANN filters for nonlinear active noise control
In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model rea...
Giovanni L. Sicuranza, Alberto Carini
ICML
2009
IEEE
15 years 10 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
WCNC
2008
IEEE
15 years 4 months ago
Subspace Blind MIMO-OFDM Channel Estimation with Short Averaging Periods: Performance Analysis
—Among all blind channel estimation problems, subspace-based algorithms are attractive due to its fastconverging nature. It primarily exploits the orthogonality structure of the ...
Chao-Cheng Tu, Benoît Champagne
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DCOSS
2008
Springer
14 years 11 months ago
Efficient Node Discovery in Mobile Wireless Sensor Networks
Energy is one of the most crucial aspects in real deployments of mobile sensor networks. As a result of scarce resources, the duration of most real deployments can be limited to ju...
Vladimir Dyo, Cecilia Mascolo
BMCBI
2004
169views more  BMCBI 2004»
14 years 9 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...