19 search results - page 1 / 4 » Turbo reconstruction of structured sparse signals |
CISS
2010
IEEE
12 years 8 months ago
2010
IEEE
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
FIMH
2007
Springer
13 years 8 months ago
2007
Springer
Magnetic resonance diffusion tensor imaging (DTI) has emerged as a convenient and reliable alternative to conventional histology for characterizing the fiber structure of the myoca...