12 citations · 32 across the 11 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
math.NA2017★ 8 cited
A General Approach to Regularizing Inverse Problems with Regional Data using Slepian Wavelets
Volker Michel, Frederik J. Simons
Slepian functions are orthogonal function systems that live on subdomains (for example, geographical regions on the Earth's surface, or bandlimited portions of the entire spectrum)…
math.NA2017★ 1 cited
Vectorial Slepian Functions on the Ball
Volker Michel, Sarah Orzlowski, Naomi Schneider
Due to the uncertainty principle, a function cannot be simultaneously limited in space as well as in frequency. The idea of Slepian functions in general is to find functions that a…
math.NA2017★ 12 cited
On the Convergence Theorem for the Regularized Functional Matching Pursuit (RFMP) Algorithm
Prof. Dr. Volker Michel, Sarah Orzlowski
The RFMP is an iterative regularization method for a class of linear inverse problems. It has proved to be applicable to problems which occur, for example, in the geosciences. In t…