Zobrazeno 1 - 10
of 22 747
pro vyhledávání: '"P. Muriel"'
Long, powerful soft detection forward error correction codes are typically constructed by concatenation of shorter component codes that are decoded through iterative Soft-Input Soft-Output (SISO) procedures. The current gold-standard is Low Density P
Externí odkaz:
http://arxiv.org/abs/2412.14017
Here, we present a new thermomechanical geodynamic, numerical implementation that incorporates Maxwell viscoelastic rheology accounting for temperature-dependent power-law dislocation creep and pressure-sensitive, non-associated Drucker-Prager brittl
Externí odkaz:
http://arxiv.org/abs/2412.04851
We introduce an algorithm for approximating the codebook probability that is compatible with all successive cancellation (SC)-based decoding algorithms, including SC list (SCL) decoding. This approximation is based on an auxiliary distribution that m
Externí odkaz:
http://arxiv.org/abs/2412.03623
The $\mathcal{C}^{\infty}$-structure-based method of integration of distributions of vector fields is used to classify all the traveling wave solutions of the modified Zakharov--Kuznetsov equation. This work unifies and generalizes the particular res
Externí odkaz:
http://arxiv.org/abs/2411.14024
Guessing Codeword Decoding (GCD) is a recently proposed soft-input forward error correction decoder for arbitrary binary linear codes. Inspired by recent proposals that leverage binary linear codebook structure to reduce the number of queries made by
Externí odkaz:
http://arxiv.org/abs/2411.09803
We introduce a novel approach to error correction decoding in the presence of additive alpha-stable noise, which serves as a model of interference-limited wireless systems. In the absence of modifications to decoding algorithms, treating alpha-stable
Externí odkaz:
http://arxiv.org/abs/2410.22650
Large language models have drastically changed the prospects of AI by introducing technologies for more complex natural language processing. However, current methodologies to train such LLMs require extensive resources including but not limited to la
Externí odkaz:
http://arxiv.org/abs/2410.21548
Autor:
Parente, Massimiliano, Ragone-Figueroa, Cinthia, Granato, Gian Luigi, Silva, Laura, Coenda, Valeria, Martínez, Héctor J., Muriel, Hernán, Lapi, Andrea
Context. Green valley (GV) galaxies are objects defined on a color-magnitude, or color-mass, diagram which are associated with a transition from a star-forming to a quiescent state (quenching), or vice versa (rejuvenation). Aims. We study the sub-mm
Externí odkaz:
http://arxiv.org/abs/2410.05385
Autor:
Battaglia, Andrea Francesco, Krucker, Säm, Veronig, Astrid M., Stiefel, Muriel Zoë, Warmuth, Alexander, Benz, Arnold O., Ryan, Daniel F., Collier, Hannah, Harra, Louise
Publikováno v:
A&A 691, A172 (2024)
In general, large solar flares are more efficient at accelerating high-energy electrons than microflares. Nonetheless, we sometimes observe microflares that accelerate electrons to high energies. We statistically characterize 39 microflares with stri
Externí odkaz:
http://arxiv.org/abs/2409.14466
Autor:
Landon, Laura, Vasudevan, Vipindev Adat, Kim, Jaeweon, Sung, Junmo, Masters, Jeffery Tony, Médard, Muriel
This paper presents several methods for minimizing packet service time in networks using 5G and beyond. We propose leveraging network coding alongside Hybrid Automatic Repeat reQuest (HARQ) to reduce service time as well as optimizing Modulation and
Externí odkaz:
http://arxiv.org/abs/2409.02788