Sparsity and Compressed Sensing in Inverse Problems

DOI10.1007/978-3-319-08159-5_18zbMath1317.65123OpenAlexW2176405946MaRDI QIDQ5256569

Dirk A. Lorenz, Dennis Trede, Evelyn Herrholz, Gerd Teschke

Publication date: 18 June 2015

Published in: Extraction of Quantifiable Information from Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-08159-5_18

zbMATH Keywords

inverse problemserror estimateill-posed problemsparse recoverycompressed sensingsparse solutionsteepest descent iterations\(\ell^{1}\)-minimizationmatching pursuit method

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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