A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and a""(1)-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.

Original languageEnglish
Pages (from-to)2259-2282
Number of pages24
JournalAutomation and Remote Control
Volume71
Issue number11
DOIs
StatePublished - Nov 2010

    Research areas

  • SIGNAL RECOVERY, RECONSTRUCTION, SHRINKAGE, DECOMPOSITION, REGRESSION, ALGORITHM, SPARSITY, PURSUIT, SETS

ID: 74011927