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CORR
2012
Springer
201views Education» more  CORR 2012»
12 years 3 months ago
Signal Recovery on Incoherent Manifolds
Suppose that we observe noisy linear measurements of an unknown signal that can be modeled as the sum of two component signals, each of which arises from a nonlinear sub-manifold ...
Chinmay Hegde, Richard G. Baraniuk
TIT
2010
137views Education» more  TIT 2010»
13 years 2 months ago
Stable recovery of sparse signals and an oracle inequality
This article considers sparse signal recovery in the presence of noise. A mutual incoherence condition which was previously used for exact recovery in the noiseless case is shown t...
T. Tony Cai, Lie Wang, Guangwu Xu
ICASSP
2009
IEEE
14 years 2 months ago
Separation of a subspace-sparse signal: Algorithms and conditions
In this paper, we show how two classical sparse recovery algorithms, Orthogonal Matching Pursuit and Basis Pursuit, can be naturally extended to recover block-sparse solutions for...
Arvind Ganesh, Zihan Zhou, Yi Ma
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 7 months ago
Compressed Sensing with Coherent and Redundant Dictionaries
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or ...
Emmanuel J. Candès, Yonina C. Eldar, Deanna...
ICASSP
2011
IEEE
12 years 11 months ago
Additive character sequences with small alphabets for compressed sensing matrices
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 ...
Nam Yul Yu