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CORR
2008
Springer
13 years 7 months ago
2008
Springer
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...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We present a novel primal-dual analysis on a class of NPhard sparsity minimization problems to provide new interpretations for their well known convex relaxations. We show that th...
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
—One of the key factors underlying the popularity of Low-density parity-check (LDPC) code is its iterative decoding algorithm that is amenable to efficient hardware implementati...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...