… Our discretization method is again motivated by our multicomponent representer theorem
which guarantees that such problems admit a solution that is a hybrid spline, ie, the sum of a L1…

… Therefore, when feasible, to formulate the inverse problem in the continuous domain is a …
) to 1D continuous-domain composite signals by solving an optimization problem of the form …

… In this thesis, we focus on continuous-domain linear inverse problems with finitely many
observations … Unser, “Hybrid-spline dictionaries for continuousdomain inverse problems,” IEEE …

… Abstract—We formulate as an inverse problem the construction … We prove that an optimal
solution to the inverse problem is a … , “Hybrid-spline dictionaries for continuous-domain inverse …

… This paper deals with continuous-domain inverse problems, where the goal is to recover a
periodic … Unser, “Hybrid-spline dictionaries for continuous-domain inverse problems,” IEEE …

… However, contrary to CNNs, we formulate the learning problem as a regularized inverse
problem in a continuous domain framework. Our metric for model simplicity is sparsity, ie, the …

… We show that the continuous-domain inverse problem can … inverse problem. The proposed
framework encompasses a … are sparse in a certain dictionary. Even though the proposed …

… as filtering of the observed signal with continuous-domain functions that lie in an SI subspace
… of an inherently continuous-domain inverse problem to a finite-dimensional problem of CS …

… , we propose continuous-domain formulations for one-dimensional regression problems.
In … -of-theart for image classification [16], inverse problems [17], and image segmentation [18]. …

… We investigate the problems of reconstruction signals’ distinct subcomponents, that are …
Unser, Hybrid-spline dictionaries for continuousdomain inverse problems, IEEE Trans. …