Coding and signal inference in compressive holography
Publication
, Journal Article
Choi, K; Horisaki, R; Marks, DL; Brady, DJ
Published in: Optics InfoBase Conference Papers
December 1, 2009
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 Scholars
Published In
Optics InfoBase Conference Papers
EISSN
2162-2701
Publication Date
December 1, 2009
Citation
APA
Chicago
ICMJE
MLA
NLM
Choi, K., Horisaki, R., Marks, D. L., & Brady, D. J. (2009). Coding and signal inference in compressive holography. Optics InfoBase Conference Papers.
Choi, K., R. Horisaki, D. L. Marks, and D. J. Brady. “Coding and signal inference in compressive holography.” Optics InfoBase Conference Papers, December 1, 2009.
Choi K, Horisaki R, Marks DL, Brady DJ. Coding and signal inference in compressive holography. Optics InfoBase Conference Papers. 2009 Dec 1;
Choi, K., et al. “Coding and signal inference in compressive holography.” Optics InfoBase Conference Papers, Dec. 2009.
Choi K, Horisaki R, Marks DL, Brady DJ. Coding and signal inference in compressive holography. Optics InfoBase Conference Papers. 2009 Dec 1;
Published In
Optics InfoBase Conference Papers
EISSN
2162-2701
Publication Date
December 1, 2009