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AN ITERATIVE METHOD TO SOLVING THE PROBLEM OF RECONSTRUCTING A 2-TENSOR FIELD FROM LIMITED DATA Full article

Journal Eurasian Journal of Mathematical and Computer Applications
ISSN: 2306-6172 , E-ISSN: 2308-9822
Output data Year: 2022, Volume: 10, Number: 2, Pages: 42-54 Pages count : 13 DOI: 10.32523/2306-6172-2022-10-2-42-54
Tags Gerchberg-papoulis method; Iterative process; Limited data; Ray transform; Simulation; Tensor tomography
Authors Maltseva S.V. 1
Affiliations
1 Sobolev Institute of Mathematics SB RAS, 4 Acad. Koptyug avenue, Novosibirsk, 630090, Russian Federation

Funding (1)

1 Russian Foundation for Basic Research 19-51-12008

Abstract: In this paper, we consider problem of recovery of a two-dimensional symmetric 2-tensor field. Data are values of ray transform in domain limited by angles. We apply the iterative Gerchberg-Papoulis algorithm to this problem. Steps of the algorithm are performed in two spaces: the main space of tensor field components and the Fourier space. The actions performed are based on back-projection, direct and inverse Fourier transforms and the use of a priori information. Numerical experiments on recovery of test 2-tensor fields showed good results. © 2022. Eurasian Journal of Mathematical and Computer Applications. All Rights Reserved.
Cite: Maltseva S.V.
AN ITERATIVE METHOD TO SOLVING THE PROBLEM OF RECONSTRUCTING A 2-TENSOR FIELD FROM LIMITED DATA
Eurasian Journal of Mathematical and Computer Applications. 2022. V.10. N2. P.42-54. DOI: 10.32523/2306-6172-2022-10-2-42-54 WOS Scopus РИНЦ OpenAlex
Identifiers:
Web of science: WOS:000817150600004
Scopus: 2-s2.0-85133130825
Elibrary: 49152116
OpenAlex: W4283690202
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