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. © 2009 Optical Society of America.
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