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» Gradient-Based Methods for Sparse Recovery
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ICIP
2009
IEEE
14 years 6 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
AAAI
2004
13 years 6 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
CORR
2011
Springer
179views Education» more  CORR 2011»
12 years 9 months ago
Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing
: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
Yoav Shechtman, Yonina C. Eldar, Alexander Szameit...
ADHOC
2005
95views more  ADHOC 2005»
13 years 5 months ago
Planar graph routing on geographical clusters
Geographic routing protocols base their forwarding decisions on the location of the current device, its neighbors, and the packets destination. Early proposed heuristic greedy rou...
Hannes Frey, Daniel Görgen
FOCM
2011
188views more  FOCM 2011»
12 years 8 months ago
Compressive Wave Computation
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
Laurent Demanet, Gabriel Peyré