Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing

DOI10.1137/130932168zbMath1309.65154OpenAlexW2065840002MaRDI QIDQ5174290

Alexander Cloninger, Ruiliang Bai, Wojciech Czaja, Peter J. Basser

Publication date: 17 February 2015

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/04d6f0e277535c89c832b50652137d43ab6bc9aa

zbMATH Keywords

algorithmnumerical exampleregularizationmatrix completionnuclear magnetic resonancecompressive sensingtight frametensor product structureFredholm integralVenkataramanan-Song-Hürlimann algorithm

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Biomedical imaging and signal processing (92C55) Fredholm integral equations (45B05) Numerical methods for inverse problems for integral equations (65R32) Inverse problems for integral equations (45Q05) Matrix completion problems (15A83)

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