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pro vyhledávání: '"EDELMANN A"'
It is well-known that the cores of massive stars sustain a stellar dynamo with a complex magnetic field configuration. However, the same cannot be said for the field's strength and geometry at the convective-radiative boundary, which are crucial when
Externí odkaz:
http://arxiv.org/abs/2412.09986
Autor:
Arnold, Elias, Edelmann, Eike-Manuel, von Bank, Alexander, Müller, Eric, Schmalen, Laurent, Schemmel, Johannes
Spiking neural networks (SNNs) emulated on dedicated neuromorphic accelerators promise to offer energy-efficient signal processing. However, the neuromorphic advantage over traditional algorithms still remains to be demonstrated in real-world applica
Externí odkaz:
http://arxiv.org/abs/2412.03129
Autor:
Schmalen, Laurent, Lauinger, Vincent, Ney, Jonas, Wehn, Norbert, Matalla, Patrick, Randel, Sebastian, von Bank, Alexander, Edelmann, Eike-Manuel
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.<
Externí odkaz:
http://arxiv.org/abs/2411.10101
Autor:
von Bank, Alexander, Edelmann, Eike-Manuel, Miao, Sisi, Mandelbaum, Jonathan, Schmalen, Laurent
Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into beli
Externí odkaz:
http://arxiv.org/abs/2410.11543
Internal gravity waves (IGWs) are likely to cause mixing in stellar interiors. Studies show that the mixing by these waves changes drastically across age and mass (Varghese et al. 2023, arXiv:2211.06432). Here, we study the effect of rotation on this
Externí odkaz:
http://arxiv.org/abs/2406.04403
Publikováno v:
A&A 687, A165 (2024)
The Archives of Photographic PLates for Astronomical USE (APPLAUSE) project is aimed at digitising astronomical photographic plates from three major German plate collections, making them accessible through integration into the International Virtual O
Externí odkaz:
http://arxiv.org/abs/2404.17355
Autor:
Castro-Prado, Fernando, González-Manteiga, Wenceslao, Costas, Javier, Facal, Fernando, Edelmann, Dominic
Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are statistically dependent. We show weaknesses of classical methods -- such as
Externí odkaz:
http://arxiv.org/abs/2403.12711
Performance of high-order Godunov-type methods in simulations of astrophysical low Mach number flows
Publikováno v:
A&A 686, A34 (2024)
High-order Godunov methods for gas dynamics have become a standard tool for simulating different classes of astrophysical flows. Their accuracy is mostly determined by the spatial interpolant used to reconstruct the pair of Riemann states at cell int
Externí odkaz:
http://arxiv.org/abs/2402.16706
We propose an energy-efficient equalizer for IM/DD systems based on spiking neural networks. We optimize a neural spike encoding that boosts the equalizer's performance while decreasing energy consumption.
Comment: Accepted for publication at OF
Comment: Accepted for publication at OF
Externí odkaz:
http://arxiv.org/abs/2312.12909
We demonstrate strong performance enhancement of an all polarization-maintaining fiber oscillator mode-locked using NPE in a linear self-stabilized fiber interferometer via suppression of cross-phase modulation (XPM). Numerical simulations reveal tha
Externí odkaz:
http://arxiv.org/abs/2310.10164