255 search results - page 22 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
CORR
2010
Springer
14 years 7 months ago
2010
Springer
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
JMLR
2010
14 years 8 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CISS
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
ISBI
2008
IEEE
15 years 10 months ago
2008
IEEE
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
CORR
2010
Springer
14 years 9 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...