441 search results - page 57 / 89 » Sparse Recovery Using Sparse Random Matrices |
CORR
2008
Springer
14 years 10 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
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...
SIGMETRICS
2003
ACM
15 years 3 months ago
2003
ACM
It has been observed that the degrees of the topologies of several communication networks follow heavy tailed statistics. What is the impact of such heavy tailed statistics on the...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...