Ontology highlight
ABSTRACT:
SUBMITTER: Donoho DL
PROVIDER: S-EPMC2767368 | biostudies-literature | 2009 Nov
REPOSITORIES: biostudies-literature
Donoho David L DL Maleki Arian A Montanari Andrea A
Proceedings of the National Academy of Sciences of the United States of America 20091026 45
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be recovered is sufficiently sparse in a known basis. Currently, the best known sparsity-undersampling tradeoff is achieved when reconstructing by convex optimization, which is expensive in important large-scale applications. Fast iterative thresholding algorithms have been intensively studied as alter ...[more]