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CORR
2010
Springer
13 years 9 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we explore the benefits, from the perspective of degrees of freedom (DOF), of user cooperation and cognitive message sharing for a two-user multiple-input-multiple-...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
We consider the problem of rate allocation in a fading Gaussian multiple-access channel (MAC) with fixed transmission powers. Our goal is to maximize a general concave utility func...