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Auteurs principaux: Barmherzig, David A., Sun, Ju, Lane, T. J., Li, Po-Nan, Candès, Emmanuel J.
Format: Preprint
Publié: 2019
Sujets:
Accès en ligne:https://arxiv.org/abs/1901.06453
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_version_ 1866910753150205952
author Barmherzig, David A.
Sun, Ju
Lane, T. J.
Li, Po-Nan
Candès, Emmanuel J.
author_facet Barmherzig, David A.
Sun, Ju
Lane, T. J.
Li, Po-Nan
Candès, Emmanuel J.
contents A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction imaging, a "reference" portion of the signal to be recovered via phase retrieval is a priori known from experimental design. A generic formula is also derived for the expected recovery error when the measurement data is corrupted by Poisson shot noise. This facilitates an optimization perspective towards reference design and analysis. We employ this optimization perspective towards quantifying the performance of various reference choices.
format Preprint
id arxiv_https___arxiv_org_abs_1901_06453
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Holographic Phase Retrieval and Reference Design
Barmherzig, David A.
Sun, Ju
Lane, T. J.
Li, Po-Nan
Candès, Emmanuel J.
Information Theory
Numerical Analysis
Signal Processing
Optimization and Control
A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction imaging, a "reference" portion of the signal to be recovered via phase retrieval is a priori known from experimental design. A generic formula is also derived for the expected recovery error when the measurement data is corrupted by Poisson shot noise. This facilitates an optimization perspective towards reference design and analysis. We employ this optimization perspective towards quantifying the performance of various reference choices.
title Holographic Phase Retrieval and Reference Design
topic Information Theory
Numerical Analysis
Signal Processing
Optimization and Control
url https://arxiv.org/abs/1901.06453