# Sparse Recovery in Inverse Problems

@inproceedings{Ramlau2010SparseRI, title={Sparse Recovery in Inverse Problems}, author={R. Ramlau and G. Teschke}, year={2010} }

Within this chapter we present recent results on sparse recovery algorithms for inverse and ill-posed problems, i.e. we focus on those inverse problems in which we can assume that the solution has a sparse series expansion with respect to a preassigned basis or frame. The presented approaches to approximate solutions of inverse problems are limited to iterative strategies that essentially rely on the minimization of Tikhonov-like variational problems, where the sparsity constraint is integrated… Expand

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