Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Roemer, Florian"'
Autor:
Wang, Han, Pérez, Eduardo, Huijben, Iris A. M., van Gorp, Hans, van Sloun, Ruud, Römer, Florian
Multidimensional data acquisition often requires extensive time and poses significant challenges for hardware and software regarding data storage and processing. Rather than designing a single compression matrix as in conventional compressed sensing,
Externí odkaz:
http://arxiv.org/abs/2410.18954
In this work, we investigate the localization of targets in the presence of multiple scattering. We focus on the often omitted scenario in which measurement data is affected by multiple scattering, and a simpler model is employed in the estimation. W
Externí odkaz:
http://arxiv.org/abs/2405.01220
Autor:
Pérez, Eduardo, Ardic, Cemil Emre, Çakıroğlu, Ozan, Jacob, Kevin, Kodera, Sayako, Pompa, Luca, Rachid, Mohamad, Wang, Han, Zhou, Yiming, Zimmer, Cyril, Römer, Florian, Osman, Ahmad
The digital transformation is fundamentally changing our industries, affecting planning, execution as well as monitoring of production processes in a wide range of application fields. With product line-ups becoming more and more versatile and diverse
Externí odkaz:
http://arxiv.org/abs/2404.03449
This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as a case study. We propose an analytical convolutional forward model tha
Externí odkaz:
http://arxiv.org/abs/2403.09505
Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This paper introduces the Joint Deep Probabilistic Subsampling (J-DPS) method,
Externí odkaz:
http://arxiv.org/abs/2402.19023
Autor:
Roemer, Florian E.1,2 (AUTHOR) florian.roemer@uni-hamburg.de, Buehler, Stefan A.1 (AUTHOR), Kluft, Lukas3 (AUTHOR), Pincus, Robert4 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Jul2024, Vol. 16 Issue 7, p1-21. 21p.
Autor:
Kirchhof, Jan, Semper, Sebastian, Wagner, Christoph W., Pérez, Eduardo, Römer, Florian, Del Galdo, Giovanni
In ultrasound nondestructive testing, a widespread approach is to take synthetic aperture measurements from the surface of a specimen to detect and locate defects within it. Based on these measurements, imaging is usually performed using the Syntheti
Externí odkaz:
http://arxiv.org/abs/2012.04534
Autor:
Semper, Sebastian, Römer, Florian
This paper is concerned with estimating unknown multi-dimensional frequencies from linear compressive measurements. This is accomplished by employing the recently proposed atomic norm minimization framework to recover these frequencies under a sparsi
Externí odkaz:
http://arxiv.org/abs/1811.02477
Recently, compressive antenna arrays have been considered for DoA estimation with reduced hardware complexity. By utilizing compressive sensing, such arrays employ a linear combining network to combine signals from a larger set of antenna elements in
Externí odkaz:
http://arxiv.org/abs/1811.01554
We investigate the problem of estimating the unknown degree of sparsity from compressive measurements without the need to carry out a sparse recovery step. While the sparsity order can be directly inferred from the effective rank of the observation m
Externí odkaz:
http://arxiv.org/abs/1706.05278