610 search results - page 14 / 122 » An Efficient Method for Compressed Sensing |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...