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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

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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