Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Betcke, Marta M."'
This paper considers one of the fundamental parallel-in-time methods for the solution of ordinary differential equations, Parareal, and extends it by adopting a neural network as a coarse propagator. We provide a theoretical analysis of the convergen
Externí odkaz:
http://arxiv.org/abs/2408.09756
With the next generation of interferometric telescopes, such as the Square Kilometre Array (SKA), the need for highly computationally efficient reconstruction techniques is particularly acute. The challenge in designing learned, data-driven reconstru
Externí odkaz:
http://arxiv.org/abs/2405.08958
Autor:
Liaudat, Tobías I., Mars, Matthijs, Price, Matthew A., Pereyra, Marcelo, Betcke, Marta M., McEwen, Jason D.
Next-generation radio interferometers like the Square Kilometer Array have the potential to unlock scientific discoveries thanks to their unprecedented angular resolution and sensitivity. One key to unlocking their potential resides in handling the d
Externí odkaz:
http://arxiv.org/abs/2312.00125
Publikováno v:
RAS Techniques and Instruments, Volume 2, Issue 1, January 2023, Pages 760-778
The Segmented Planar Imaging Detector for Electro-Optical Reconnaissance (SPIDER) is an optical interferometric imaging device that aims to offer an alternative to the large space telescope designs of today with reduced size, weight and power consump
Externí odkaz:
http://arxiv.org/abs/2301.10260
Autor:
Pan, Bolin, Betcke, Marta M.
In photoacoustic tomography (PAT) with flat sensor, we routinely encounter two types of limited data. The first is due to using a finite sensor and is especially perceptible if the region of interest is large relative to the sensor or located farther
Externí odkaz:
http://arxiv.org/abs/2204.10001
Autor:
Pan, Bolin, Arridge, Simon R., Lucka, Felix, Cox, Ben T., Huynh, Nam, Beard, Paul C., Zhang, Edward Z., Betcke, Marta M.
Curvelet frame is of special significance for photoacoustic tomography (PAT) due to its sparsifying and microlocalisation properties. We derive a one-to-one map between wavefront directions in image and data spaces in PAT which suggests near equivale
Externí odkaz:
http://arxiv.org/abs/2011.13080
Autor:
Rullan, Francesc, Betcke, Marta M.
The majority of the solvers for the acoustic problem in Photoacoustic Tomography (PAT) rely on full solution of the wave equation which makes them less suitable for real-time and dynamic applications where only partial data is available. This is in c
Externí odkaz:
http://arxiv.org/abs/1810.13196
We propose an extension of a special form of gradient descent -- in the literature known as linearised Bregman iteration -- to a larger class of non-convex functions. We replace the classical (squared) two norm metric in the gradient descent setting
Externí odkaz:
http://arxiv.org/abs/1712.04045
We discuss a special form of gradient descent that in the literature has become known as the so-called linearised Bregman iteration. The idea is to replace the classical (squared) two norm metric in the gradient descent setting with a generalised Bre
Externí odkaz:
http://arxiv.org/abs/1612.02506
Autor:
Rul⋅lan, Francesc, Betcke, Marta M.
Publikováno v:
In Journal of Computational Physics 15 January 2022 449
