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Regularization of linear inverse problems with irregular noise using embedding operators
In this paper, we investigate regularization of linear inverse problems with irregular noise. In
particular, we consider the case that the noise can be preprocessed by certain adjoint …
particular, we consider the case that the noise can be preprocessed by certain adjoint …
8 Singular value and frame decomposition-based reconstruction for atmospheric tomography
L Weissinger, S Hubmer, B Stadler… - Inverse Problems on …, 2024 - degruyter.com
Atmospheric tomography, the problem of reconstructing atmospheric turbulence profiles
from wavefront sensor measurements, is an integral part of many adaptive optics systems …
from wavefront sensor measurements, is an integral part of many adaptive optics systems …
[BOG][B] Inverse Problems on Large Scales: Mathematical Modelling and Computational Methods
This book presents new contributions and substantial advancements in the field of inverse
imaging problems. Several chapters are driven by novel applications, which leads to novel …
imaging problems. Several chapters are driven by novel applications, which leads to novel …
[PDF][PDF] Finally, let's use all the modes-A stable DM fitting avoiding modal truncation
A Obereder, I Shatokhina, S Raffetseder… - Adaptive Optics for …, 2023 - hal.science
ABSTRACT METIS SCAO uses a wavefront control concept that deploys a 2-stage spatial
reconstruction where the wavefront is first reconstructed on an intermediate space we call …
reconstruction where the wavefront is first reconstructed on an intermediate space we call …