340 search results - page 17 / 68 » SLAM with Sparse Sensing |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
CORR
2010
Springer
13 years 6 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 ...
ICASSP
2011
IEEE
13 years 24 days ago
2011
IEEE
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
ICASSP
2011
IEEE
13 years 24 days ago
2011
IEEE
In this paper, we propose a new algorithm, TLS-FOCUSS, for sparse recovery for large underdetermined linear systems, based on total least square (TLS) method and FOCUSS(FOCal Unde...
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...