4 search results - page 1 / 1 » Distributed sampling of signals linked by sparse filtering: ... |
TSP
2010
12 years 11 months ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
ICIP
2006
IEEE
14 years 6 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
13 years 11 months 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 ...
DAGM
2003
Springer
13 years 9 months ago
2003
Springer
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we ar...