34 search results - page 3 / 7 » Causal signal recovery from U-invariant samples |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
ICASSP
2008
IEEE
14 years 6 days ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...