340 search results - page 28 / 68 » SLAM with Sparse Sensing |
ISBI
2009
IEEE
14 years 5 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...