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CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 6 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
CORR
2008
Springer
138views Education» more  CORR 2008»
15 years 6 months ago
On the Capacity of Free-Space Optical Intensity Channels
New upper and lower bounds are presented on the capacity of the free-space optical intensity channel. This channel is characterized by inputs that are nonnegative (representing the...
Amos Lapidoth, Stefan M. Moser, Michele A. Wigger
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 6 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
CORR
2008
Springer
77views Education» more  CORR 2008»
15 years 6 months ago
Energy-efficient Scheduling of Delay Constrained Traffic over Fading Channels
Abstract--A delay-constrained scheduling problem for pointto-point communication is considered: a packet of B bits must be transmitted by a hard deadline of T slots over a timevary...
Juyul Lee, Nihar Jindal
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 6 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...