DocumentCode
285054
Title
Signal reconstruction from Fourier transform magnitude using Markov random fields in X-ray crystallography
Author
Doerschuk, Peter C.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
4
fYear
1992
fDate
23-26 Mar 1992
Firstpage
141
Abstract
A Bayesian binary signal reconstruction problem which includes noisy magnitude of Fourier transform measurements and a Markov random field a priori model is solved. The solution is analytical and is based on the spherical model and small noise asymptotic approximations. Parameters in the solution are used for data adaptation. The problem is motivated by the phase retrieval problem in X-ray crystallography
Keywords
Bayes methods; Fourier transforms; Markov processes; X-ray crystallography calculation methods; signal synthesis; Bayesian binary signal reconstruction; Fourier transform measurements; Markov random fields; X-ray crystallography; data adaptation; noisy magnitude; phase retrieval problem; small noise asymptotic approximations; spherical model; Atomic measurements; Bayesian methods; Bonding; Crystallography; Electrons; Fourier transforms; Lattices; Markov random fields; Sampling methods; Signal reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226466
Filename
226466
Link To Document