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CORR
2011
Springer
148views Education» more  CORR 2011»
13 years 1 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
TSP
2010
13 years 1 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
FCT
2005
Springer
14 years 11 days ago
Almost Optimal Explicit Selectors
We understand selection by intersection as distinguishing a single element of a set by the uniqueness of its occurrence in some other set. More precisely, given two sets A and B, i...
Bogdan S. Chlebus, Dariusz R. Kowalski
BMCBI
2008
156views more  BMCBI 2008»
13 years 7 months ago
The unique probe selector: a comprehensive web service for probe design and oligonucleotide arrays
Background: Nucleic acid hybridization, a fundamental technique in molecular biology, can be modified into very effective and sensitive methods for detecting particular targets mi...
Shu-Hwa Chen, Chen-Zen Lo, Ming-Chi Tsai, Chao A. ...
BMCBI
2010
187views more  BMCBI 2010»
13 years 7 months ago
PathEx: a novel multi factors based datasets selector web tool
Background: Microarray experiments have become very popular in life science research. However, if such experiments are only considered independently, the possibilities for analysi...
Eric Bareke, Michael Pierre, Anthoula Gaigneaux, B...