|Title||Coding and signal inference in compressive holography|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||K Choi, R Horisaki, DL Marks, and DJ Brady|
|Conference Name||Optics Infobase Conference Papers|
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.