152 search results - page 5 / 31 » Efficient Projection for Compressed Sensing |
ICASSP
2008
IEEE
14 years 3 days ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
ICASSP
2008
IEEE
14 years 3 days 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
2010
IEEE
13 years 5 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
We propose a new method named compressive structured light for recovering inhomogeneous participating media. Whereas conventional structured light methods emit coded light patterns...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...