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» Recovery of Sparsely Corrupted Signals
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MOBICOM
2012
ACM
11 years 9 months ago
Faster GPS via the sparse fourier transform
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...
Haitham Hassanieh, Fadel Adib, Dina Katabi, Piotr ...
ICASSP
2011
IEEE
12 years 11 months ago
The value of redundant measurement in compressed sensing
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...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 7 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
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...
Albert Fannjiang
JMLR
2012
11 years 9 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
ECCV
2010
Springer
14 years 17 days ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...