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CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 4 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
CISS
2008
IEEE
14 years 3 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 8 months ago
Compressed Sensing: How sharp is the Restricted Isometry Property
Compressed sensing is a recent technique by which signals can be measured at a rate proportional to their information content, combining the important task of compression directly ...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner
ICPR
2010
IEEE
13 years 10 months ago
Fast Derivation of Soil Surface Roughness Parameters Using Multi-Band SAR Imagery and the Integral Equation Model
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters fr...
Benjamin Seppke, Leonie Dreschler-Fischer, Jo-Ann ...