155 search results - page 6 / 31 » Theoretical and empirical results for recovery from multiple... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...
TIT
2010
13 years 2 months ago
2010
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...