172 search results - page 29 / 35 » Support Recovery of Sparse Signals |
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
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ICIP
2008
IEEE
15 years 3 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Information embedding (IE) is the transmission of information within a host signal subject to a distortion constraint. There are two types of embedding methods, namely irreversibl...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...