93 search results - page 4 / 19 » Reconstructing sparse signals from their zero crossings |
ICIP
2006
IEEE
14 years 8 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
ICASSP
2008
IEEE
14 years 1 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...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
JDCTA
2010
13 years 1 months ago
2010
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...