14 search results - page 2 / 3 » Compressed Remote Sensing of Sparse Objects |
TSP
2010
13 years 10 days ago
2010
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
SIAMIS
2011
13 years 18 days ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...