Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Guerra, David"'
Autor:
Garcia-Martinez, Jaime, Diaz-Guerra, David, Politis, Archontis, Virtanen, Tuomas, Carabias-Orti, Julio J., Vera-Candeas, Pedro
Recent advancements in music source separation have significantly progressed, particularly in isolating vocals, drums, and bass elements from mixed tracks. These developments owe much to the creation and use of large-scale, multitrack datasets dedica
Externí odkaz:
http://arxiv.org/abs/2409.10995
Autor:
Junior, Wilson de Souza, Guerra, David William Marques, Marinello, José Carlos, Abrão, Taufik, Hossain, Ekram
Manifold optimization (MO) is a powerful mathematical framework that can be applied to optimize functions over complex geometric structures, which is particularly useful in advanced wireless communication systems, such as reconfigurable intelligent s
Externí odkaz:
http://arxiv.org/abs/2408.00553
Autor:
Fernandez, Marta, Espinosa, Hugo G., Guerra, David, Pena, Ivan, Thiel, David V., Arrinda, Amaia
Publikováno v:
Marta Fernandez, Hugo G. Espinosa, David Guerra, Ivan Pena, David V. Thiel, Amaia Arrinda, RF Energy Absorption in Human Bodies Due to Wearable Antennas in the 2.4 GHz Frequency Band, Bioelectromagnetics, Vol. 41, No. 1, pp. 73-.79, 2020
Human exposure to electromagnetic fields produced by two wearable antennas operating in the 2.4 GHz frequency band was assessed by computational tools. Both antennas were designed to be attached to the skin, but they were intended for different appli
Externí odkaz:
http://arxiv.org/abs/2402.05700
Publikováno v:
Marta Fernandez, David Guerra, Unai Gil, Inigo Trigo, Ivan Pena, Amaia Arrinda, Measurements and Analysis of Temporal and Spatial Variability of WiFi Exposure Levels in the 2.4 GHz Frequency Band, Measurement, 149, pp. 1-9, 2020
This paper presents an evaluation of the WiFi exposure levels inside the university in the 2.4 GHz frequency band. The selected environment is the typical scenario where WiFi exposure concerns have increased in the last years, since a Wireless Local
Externí odkaz:
http://arxiv.org/abs/2402.05083
Many multi-source localization and tracking models based on neural networks use one or several recurrent layers at their final stages to track the movement of the sources. Conventional recurrent neural networks (RNNs), such as the long short-term mem
Externí odkaz:
http://arxiv.org/abs/2306.08510
Recent data- and learning-based sound source localization (SSL) methods have shown strong performance in challenging acoustic scenarios. However, little work has been done on adapting such methods to track consistently multiple sources appearing and
Externí odkaz:
http://arxiv.org/abs/2210.14536
In this manuscript we study the Wehrl entropy of entangled oscillators. This semiclassical entropy associated with the phase-space description of quantum mechanics can be used for formulating uncertainty relations and for a quantification of entangle
Externí odkaz:
http://arxiv.org/abs/2210.08253
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 313-321, 2023
In this paper, we present a new model for Direction of Arrival (DOA) estimation of sound sources based on an Icosahedral Convolutional Neural Network (CNN) applied over SRP-PHAT power maps computed from the signals received by a microphone array. Thi
Externí odkaz:
http://arxiv.org/abs/2203.16940