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ICIP
2007
IEEE
14 years 10 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
ICASSP
2008
IEEE
14 years 3 months ago
Compressed sensing with sequential observations
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
ICA
2010
Springer
13 years 9 months ago
A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation
Abstract. In this work, we present a direction-of-arrival (DOA) estimation method for narrowband sources impinging from the far-field on a uniform linear array (ULA) of sensors, ba...
Aris Gretsistas, Mark D. Plumbley
CORR
2011
Springer
179views Education» more  CORR 2011»
13 years 10 days 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...
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 6 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling