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» Compressed Sensing of Analog Signals
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ICASSP
2008
IEEE
15 years 9 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
ICASSP
2010
IEEE
14 years 10 months ago
Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity
We propose a compressive estimator of doubly selective channels within pulse-shaping multicarrier MIMO systems (including MIMOOFDM as a special case). The use of multichannel comp...
Daniel Eiwen, Georg Tauböck, Franz Hlawatsch,...
101
Voted
FOCM
2010
82views more  FOCM 2010»
15 years 1 months ago
Stability and Instance Optimality for Gaussian Measurements in Compressed Sensing
In compressed sensing we seek to gain information about vector x ∈ RN from d << N nonadaptive linear measurements. Candes, Donoho, Tao et. al. ( see e.g. [2, 4, 8]) propos...
P. Wojtaszczyk
ICIP
2009
IEEE
15 years 1 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
120
Voted
CORR
2010
Springer
166views Education» more  CORR 2010»
15 years 3 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari