Compressive sensing principles and iterative sparse recovery for inverse and ill-posed problems

DOI10.1088/0266-5611/26/12/125012zbMath1208.65068OpenAlexW2082465502MaRDI QIDQ3069800

Evelyn Herrholz, Gerd Teschke

Publication date: 20 January 2011

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/26/12/125012

zbMATH Keywords

numerical experimentscompressive sampling strategiessparse recovery principlesTikhonov variational and constrained optimization

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52) Numerical solution to inverse problems in abstract spaces (65J22)

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