Holographic Phase Retrieval and Reference Design
Fuente:
arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2019
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| _version_ | 1866910753150205952 |
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| 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 |