150 search results - page 1 / 30 » Compressive Sensing over Graphs |
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
NIPS
2008
13 years 6 months ago
2008
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
A stylized compressed sensing radar is proposed in which the timefrequency plane is discretized into an N × N grid. Assuming the number of targets K is small (i.e., K N2 ), then ...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...