Zobrazeno 1 - 10
of 18 155
pro vyhledávání: '"Matéos, A."'
Autor:
Membrilla, Jose A. Vílchez, Mateos, Ignacio, Quirós-Olozábal, Ángel, Pantoja, Mario F., Sánchez, Clemente Cobos
Publikováno v:
Published in: IEEE Transactions on Instrumentation and Measurement (Volume: 71) Date of Publication: 28 October 2022
Here a minimum power dissipation coil transducer has been designed to allow in-flight noise characterization of a low-frequency magnetic measurement system. The coil was produced using PCB technology to provide mechanical stability and easy integrati
Externí odkaz:
http://arxiv.org/abs/2412.10043
Autor:
Bea, Yago, Giliberti, Mauro, Mateos, David, Sanchez-Garitaonandia, Mikel, Serantes, Alexandre, Zilhão, Miguel
A line of first-order phase transitions is conjectured in the phase diagram of Quantum Chromodynamics at non-zero baryon density. If this is the case, numerical simulations of neutron star mergers suggest that various regions of the stars may cross t
Externí odkaz:
http://arxiv.org/abs/2412.09588
Autor:
Fontboté, Marc Aragonès, Mateos, David, Martín, Guillem Pérez, van der Schee, Wilke, Subils, Javier G.
We investigate cosmic censorship in anti-de Sitter space in holographic models in which the ground state is described by a good singularity. These include supersymmetric truncations of string/M-theory, for which a positive-energy theorem holds. At th
Externí odkaz:
http://arxiv.org/abs/2411.17806
Autor:
Chatelier, Baptiste, Mateos-Ramos, José Miguel, Corlay, Vincent, Häger, Christian, Crussière, Matthieu, Wymeersch, Henk, Magoarou, Luc Le
Direction of arrival (DoA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has gained renewed importance with the advent of the integrated sensing and communication paradigm. To fully exploit the
Externí odkaz:
http://arxiv.org/abs/2411.15144
Autor:
Galaz, Gaspar, González-López, Jorge, Guzmán, Viviana, Messias, Hugo, Junais, Boissier, Samuel, Epinat, Benoît, Weilbacher, Peter M., Puzia, Thomas, Johnston, Evelyn J., Amram, Philippe, Frayer, David, Blaña, Matías, Howk, J. Christopher, Berg, Michelle, Bustos-Espinoza, Roy, Muñoz-Mateos, Juan Carlos, Cortés, Paulo, García-Appadoo, Diego, Joachimi, Katerine
After over three decades of unsuccessful attempts, we report the first detection of molecular gas emission in Malin 1, the largest spiral galaxy observed to date, and one of the most iconic giant low surface brightness galaxies. Using ALMA, we detect
Externí odkaz:
http://arxiv.org/abs/2410.22230
Autor:
Maria-Moreno, Cristian, Mateos, Ignacio, Pacheco-Ramos, Guillermo, Rivas, Francisco, Cifredo-Chacón, María-Ángeles, Quirós-Olozábal, Ángel, Guerrero-Rodríguez, José-María, Karnesis, Nikolaos
Publikováno v:
IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-11, 2024
In recent years, nanosatellites have revolutionized the space sector due to their significant economic and time-saving advantages. As a result, they have fostered the testing of advanced instruments intended for larger space science missions. The cas
Externí odkaz:
http://arxiv.org/abs/2410.13692
Autor:
Mateos-Ramos, José Miguel, Häger, Christian, Keskin, Musa Furkan, Magoarou, Luc Le, Wymeersch, Henk
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC). We study the effect of GPIs in a single-input, multiple-output orthogonal frequency-division multiplexing ISAC system and develop a
Externí odkaz:
http://arxiv.org/abs/2410.04176
Autor:
Wasserman, Max, Mateos, Gonzalo
Large-scale latent variable models require expressive continuous distributions that support efficient sampling and low-variance differentiation, achievable through the reparameterization trick. The Kumaraswamy (KS) distribution is both expressive and
Externí odkaz:
http://arxiv.org/abs/2410.00660
Autor:
Chahuara, Hector, Mateos, Gonzalo
Graph signal processing deals with algorithms and signal representations that leverage graph structures for multivariate data analysis. Often said graph topology is not readily available and may be time-varying, hence (dynamic) graph structure learni
Externí odkaz:
http://arxiv.org/abs/2409.12916
Autor:
Ye, Chang, Mateos, Gonzalo
We study a blind deconvolution problem on graphs, which arises in the context of localizing a few sources that diffuse over networks. While the observations are bilinear functions of the unknown graph filter coefficients and sparse input signals, a m
Externí odkaz:
http://arxiv.org/abs/2409.12164