69 search results - page 7 / 14 » A Theory for Sampling Signals From a Union of Subspaces |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domai...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Compressive sampling (CS) aims at acquiring a signal at a sampling rate that is significantly below the Nyquist rate. Its main idea is that a signal can be decoded from incomplet...
NIPS
2000
13 years 9 months ago
2000
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...