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