Listar por centro "E.T.S.I. Telecomunicación"
Mostrando ítems 1-20 de 509
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3D Binaural Spatialisation for Virtual Reality and Psychoacoustics
(UMA Editorial, 2022)The incorporation of spatial audio to the simulation of immersive Virtual Reality (VR) environments is becoming essential. The aim of spatialised audio is to create in the listener the illusion of sound sources existing ... -
The 3D Tune-In Toolkit: A C++ library for binaural spatialisation, and hearing loss / hearing aid emulation
Reyes-Lecuona, Arcadio
; Cuevas-Rodríguez, María; González-Toledo, Daniel; Garre, Carlos; De-la-Rubia-Cuestas, Ernesto Jesús; Molina-Tanco, Luis; Rodríguez-Rivero, Ángel; Picinali, Lorenzo[et al.] (2019-09-18)
This contribution presents the 3D Tune-In (3DTI) Toolkit, an open source C++ library for binaural spatialisation which includes hearing loss and hearing aid emulators. Binaural spatialisation is performed through convolution ... -
3DI-DIANA. Interacción 3D y Realidad Virtual
Reyes-Lecuona, Arcadio (2019-07-08)
El equipo 3DI-DIANA desarrolla su labor de investigación en interacción 3D y experiencia de usuario en Entornos Virtuales (EV) desde 2004. Su trabajo se centra en el estudio de la interacción persona-máquina en el contexto ... -
5G in airports: challenges and use cases.
5G is the new generation of cellular communications that aims to provide high-throughput high-reliability connectivity to greatly diversified scenarios. With this objective, it shall act as a viable solution for environments ... -
5G networks automatic performance improvement
(UMA Editorial, 2023-03-16)La quinta generación (5G) de redes móviles se presenta como una tecnología habilitadora de esta transformación digital de la sociedad y la economía. El crecimiento exponencial de las redes hace que sus tareas de gestión ... -
5G wireless systems: principles, IoT connectivity, and slicing of radio resources
(2019-06-07)In the conference, the landscape of future wireless connectivity is first described. Later, a glimpse into the new radio and standardization is given. New modes in 5G are treated in deep, emphasizing those related to ... -
A Broadband Cavity-Backed Slot for Series-Fed Arrays
(UMA Editorial, 2022-01-26)A pesar de que el diseño de antenas en el contexto de los sistemas de comunicaciones es uno de los desafíos más clásicos en la ingeniería de telecomunicación, las antenas para nuevas aplicaciones y servicios de reciente ... -
A broadband polarization splitter directional coupler based on tilted subwavelengh grating metamaterials
Luque-González, José Manuel; Herrero-Bermello, Alaine; Ortega-Moñux, Alejandro; Sánchez-Rodriguez, Marina; Velasco, Aitor V.; Schmid, Jens H.; Cheben, Pavel; Molina-Fernández, Íñigo; Halir, Robert[et al.] (2020-12-03)
Tilted subwavelength gratings (SWG) allows anisotropy tailorable metamaterials with applications in polarization management. Based on this concept, here we experimentally demonstrate a broadband directional-couplerbased ... -
A Comparison of a Brain-Computer Interface and an Eye Tracker: Is There a More Appropriate Technology for Controlling a Virtual Keyboard in an ALS Patient?
García, Liliana; Ron-Angevin, Ricardo; Loubière, Bertrand; Renault, Loic; Le Masson, Gwendal; Lespinet-Najib, Véronique; André, Jean-Marc[et al.] (2017)
The ability of people affected by amyotrophic lateral sclerosis (ALS), muscular dystrophy or spinal cord injuries to physically interact with the environment, is usually reduced. In some cases, these patients suffer from ... -
A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus
(IOAP-MPDI, 2021-02-16)Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose ... -
A cross-dataset evaluation of wearable fall detection systems
The popularity of wearables and their seamless integration into our daily lives have transformed these devices into an appealing resource to deploy automatic fall detection systems. During last years, a massive literature ... -
A Framework to boost the potential of networkin- a-box solutions
Baena-González, José Carlos; Fortes-Rodríguez, Sergio; Peñaherrera-Pulla, Oswaldo Sebastian; Barco-Moreno, Raquel (2021-10)
The expected heterogeneous connectivity provided by the fifth generation mobile network (5G) implies a huge revolution in the telecommunication field. Here, virtualisation and software implementation of network elements ... -
A Long-Life Predictive Guidance with Homogeneous Competence Promotion for University Teaching Design
(IOAP-MDPI, 2022-12-28)Even though planning the educational action to optimize student performance is a very complex task, teachers typically face this challenging issue with no external assistance. Previous experience is, in most cases, the ... -
A Machine Learning Based Full Duplex System Supporting Multiple Sign Languages for the Deaf and Mute
Imran Saleem, Muhammad; Siddiqui, Atif Ahmed; Noor, Shaheena; Luque-Nieto, Miguel Ángel; Nava-Baro, Enrique (MDPI, 2023-02-28)
This manuscript presents a full duplex communication system for the Deaf and Mute (D-M) based on Machine Learning (ML). These individuals, who generally communicate through sign language, are an integral part of our society, ... -
A modular metamodel and refactoring rules to achieve software product line interoperability.
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2022-12-05)
Emergent application domains, such as cyber–physical systems, edge computing or industry 4.0. present a high variability in software and hardware infrastructures. However, no single variability modeling language supports ... -
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
Durán-Rosal, Antonio Manuel; Durán-Fernández, Aggeo; Fernández-Navarro, Francisco de Asís; Carbonero-Ruz, Mariano (Elsevier, 2022-12-07)
Randomized-based Feedforward Neural Networks approach regression and classification (binary and multi-class) problems by minimizing the same optimization problem. Specifically, the model parameters are determined through ... -
A multidimensional Bayesian architecture for real-time anomaly detection and recovery in mobile robot sensory systems
Castellano Quero, Manuel; Castillo-López, Manuel; Fernández-Madrigal, Juan Antonio; Arévalo-Espejo, Vicente Manuel; Voos, Holger; García-Cerezo, Alfonso José[et al.] (Elsevier, 2023)
For mobile robots to operate in an autonomous and safe manner they must be able to adequately perceive their environment despite challenging or unpredictable conditions in their sensory apparatus. Usually, this is addressed ... -
A New Framework for the Performance Analysis of Wireless Communications under Hoyt (Nakagami-q) Fading
Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier (IEEE, 2017)
We present a novel relationship between the distribution of circular and non-circular complex Gaussian random variables. Specifically, we show that the distribution of the squared norm of a non-circular complex Gaussian ... -
A New Frequency Planning for Improved Capacity and Coverage in Sectorized OFDMA Cellular Networks
One of the main challenges in cellular systems is how to reduce Other Cells Interference (OCI) while keeping high spectral efficiency and high coverage probability. Since the beginning of cellular technologies, frequency ... -
A New Tractable Model to Estimate the Uplink Inter-Cell Interference in LTE
This paper presents a tractable model to estimate the uplink Inter-Cell Interference (ICI) in fully loaded LTE networks. Interfering users are considered to be uniformly distributed in an annulus so that evaluation of the ...