Proceedings Paper
Computational x-ray crystallography as a signal recovery problem| Format | Member Price | Non-Member Price |
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Paper Abstract
The goal in x-ray crystallography is to recover a signal from measurements of the magnitude squared of its Fourier transform. We describe a Bayesian statistical approach using a Markov random field model of the signal and a least squared error reconstruction criteria. The key computation is the computation of the a posteriori mean of the Markov random field given the data. We approximate this mean with the cluster approximation and use a continuation method to solve the resulting fixed-point equation. A small numerical example is presented.
Paper Details
Date Published: 9 November 1993
PDF: 10 pages
Proc. SPIE 2029, Digital Image Recovery and Synthesis II, (9 November 1993); doi: 10.1117/12.161987
Published in SPIE Proceedings Vol. 2029:
Digital Image Recovery and Synthesis II
Paul S. Idell, Editor(s)
PDF: 10 pages
Proc. SPIE 2029, Digital Image Recovery and Synthesis II, (9 November 1993); doi: 10.1117/12.161987
Show Author Affiliations
Peter C. Doerschuk, Purdue Univ. (United States)
Published in SPIE Proceedings Vol. 2029:
Digital Image Recovery and Synthesis II
Paul S. Idell, Editor(s)
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