15 search results - page 2 / 3 » A Fast Algorithm for Sparse Reconstruction Based on Shrinkag... |
SIAMIS
2011
13 years 6 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, ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
SIAMIS
2011
13 years 6 days ago
2011
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...