@inproceedings{66884901487142deae2a4a4f5a99d4c8,
title = "Coding and signal inference in compressive holography",
abstract = "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.",
author = "Kerkil Choi and Ryoichi Horisaki and Marks, {Daniel L.} and Brady, {David J.}",
year = "2009",
doi = "10.1364/cosi.2009.ctha5",
language = "English (US)",
isbn = "9781557528780",
series = "Optics InfoBase Conference Papers",
publisher = "Optical Society of America (OSA)",
booktitle = "Computational Optical Sensing and Imaging, COSI 2009",
note = "Computational Optical Sensing and Imaging, COSI 2009 ; Conference date: 13-10-2009 Through 15-10-2009",
}