172 search results - page 22 / 35 » Support Recovery of Sparse Signals |
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
CISS
2010
IEEE
14 years 1 months ago
2010
IEEE
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
MOBICOM
2012
ACM
12 years 12 months ago
2012
ACM
GPS is one of the most widely used wireless systems. A GPS receiver has to lock on the satellite signals to calculate its position. The process of locking on the satellites is qui...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...