Sparsity and Compressed Sensing in Inverse Problems

Author:

Herrholz Evelyn,Lorenz Dirk,Teschke Gerd,Trede Dennis

Publisher

Springer International Publishing

Reference46 articles.

1. Adcock, B., Hansen, A.C.: Generalized sampling and infinite dimensional compressed sensing. Technical report NA2011/02, DAMTP, University of Cambridge (2012)

2. Adcock, B., Hansen, A.C., Herrholz, E., Teschke, G.: Generalized sampling, infinite-dimensional compressed sensing, and semi-random sampling for asymptotically incoherent dictionaries (2012, submitted)

3. Adcock, B., Hansen, A.C., Herrholz, E., Teschke, G.: Generalized sampling: extension to frames and inverse and ill-posed problems. Inverse Probl. 29(1), 015,008 (2013)

4. Adcock, B., Hansen, A.C., Roman, B., Teschke, G.: Generalized sampling: stable reconstructions, inverse problems and compressed sensing over the continuum. Adv. Imaging Electron Phys. 182, 1–51 (2008)

5. Bonesky, T., Bredies, K., Lorenz, D.A., Maass, P.: A generalized conditional gradient method for nonlinear operator equations with sparsity constraints. Inverse Probl. 23, 2041–2058 (2007)

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