260 search results - page 27 / 52 » Compressed Sensing of Analog Signals |
ISBI
2009
IEEE
14 years 4 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 ...
TSP
2010
13 years 4 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
PERCOM
2010
ACM
13 years 8 months ago
2010
ACM
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...