Coding and signal inference in compressive holography
Publication
, Conference
Choi, K; Horisaki, R; Marks, DL; Brady, DJ
Published in: Optics InfoBase Conference Papers
January 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
DOI
EISSN
2162-2701
ISBN
9781557528780
Publication Date
January 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. In Optics InfoBase Conference Papers. https://doi.org/10.1364/cosi.2009.ctha5
Choi, K., R. Horisaki, D. L. Marks, and D. J. Brady. “Coding and signal inference in compressive holography.” In Optics InfoBase Conference Papers, 2009. https://doi.org/10.1364/cosi.2009.ctha5.
Choi K, Horisaki R, Marks DL, Brady DJ. Coding and signal inference in compressive holography. In: Optics InfoBase Conference Papers. 2009.
Choi, K., et al. “Coding and signal inference in compressive holography.” Optics InfoBase Conference Papers, 2009. Scopus, doi:10.1364/cosi.2009.ctha5.
Choi K, Horisaki R, Marks DL, Brady DJ. Coding and signal inference in compressive holography. Optics InfoBase Conference Papers. 2009.
Published In
Optics InfoBase Conference Papers
DOI
EISSN
2162-2701
ISBN
9781557528780
Publication Date
January 1, 2009