172 search results - page 31 / 35 » Support Recovery of Sparse Signals |
123
Voted
CIMAGING
2009
15 years 2 months ago
2009
The Dantzig selector is a near ideal estimator for recovery of sparse signals from linear measurements in the presence of noise. It is a convex optimization problem which can be r...
158
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
95
Voted
ICIP
2009
IEEE
16 years 2 months ago
2009
IEEE
In this work, we propose algorithms to recursively and causally reconstruct a sequence of natural images from a reduced number of linear projection measurements taken in a domain ...
105
Voted
ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
Wavelets provide a sparse representation for piecewise smooth signals in 1-D; however, separable extensions of wavelets to multiple dimensions do not achieve the same level of spa...
100
Voted
TSP
2010
14 years 7 months ago
2010
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...