Sciweavers

903 search results - page 125 / 181
» On the reduction of a random basis
Sort
View
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 6 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
BMCBI
2002
136views more  BMCBI 2002»
15 years 6 months ago
Making sense of EST sequences by CLOBBing them
Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
John Parkinson, David B. Guiliano, Mark L. Blaxter
TON
2010
163views more  TON 2010»
15 years 4 months ago
Toward practical opportunistic routing with intra-session network coding for mesh networks
—We consider opportunistic routing in wireless mesh networks. We exploit the inherent diversity of the broadcast nature of wireless by making use of multi-path routing. We presen...
Bozidar Radunovic, Christos Gkantsidis, Peter B. K...
ICIP
2009
IEEE
15 years 3 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
MICCAI
2008
Springer
16 years 7 months ago
A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography
In this paper, we propose a novel explicit 2D+t cyclic shape model that extends the Point Distribution Model (PDM) to shapes like myocardial contours with cyclic dynamics. We also ...
Ramón Casero, J. Alison Noble