Statistical methods in compressive imaging

Published

Conference Paper

This talk will review recent developments in the use of statistical methods for inversion of data that are acquired compressively. A particular focus will be placed on dictionary learning and its connection to mixture models. It will be explained how these methods can be used to achieve very efficient inversion, with state-of-the-art accuracy. The basic framework will be demonstrated as applied to real compressively acquired data. In particular, we will consider compressive measurements with respect to time, spectrum and focus. © 2014 OSA.

Duke Authors

Cited Authors

  • Carin, L

Published Date

  • January 1, 2014

Published In

Electronic International Standard Serial Number (EISSN)

  • 2162-2701

International Standard Book Number 13 (ISBN-13)

  • 9781557523082

Citation Source

  • Scopus