Coding and signal inference in compressive holography

Published

Journal Article

Compressive sensing enables highly accurate signal reconstruction from fewer measurements than the number of samples in a signal to be estimated. This paper describes a theoretical framework for 3D tomographic reconstruction from 2D holographic measurements. © 2009 Optical Society of America.

Duke Authors

Cited Authors

  • Choi, K; Horisaki, R; Marks, DL; Brady, DJ

Published Date

  • December 1, 2009

Published In

Electronic International Standard Serial Number (EISSN)

  • 2162-2701

Citation Source

  • Scopus