Listar IC - Artículos por centro "E.T.S.I. Telecomunicación"
Mostrando ítems 21-40 de 97
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Asymptotically Exact Approximations for the Symmetric Difference of Generalized Marcum-Q Functions
López-Martínez, Francisco Javier; Romero-Jerez, Juan Manuel
; López-Martínez, Francisco Javier (IEEE, 2015)
In this paper, we derive two simple and asymptotically exact approximations for the function defined as ΔQm(a, b) =Δ Qm(a, b) - Qm(b, a). The generalized Marcum Q-function Qm(a, b) appears in many scenarios in communications ... -
Automatic alarm prioritization by data mining for fault management in cellular networks.
García, Antonio; Toril-Genovés, Matías; Oliver, Pablo; Luna-Ramírez, Salvador; Ortiz, Manuel (Elsevier, 2020-05-30)
Network management systems play an important role to deal with the large size and complexity of current cellular networks. Thus, operators and vendors focus much of their efforts on developing new techniques and tools for ... -
Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling.
Martín-Guerrero, Teresa María; Santarelli, Alberto; Gibiino, Gian Piero; Traverso, Pier Andrea; Camacho-Peñalosa, Carlos; Filicori, Fabio[et al.] (IEEE, 2020-03-27)
A new method is proposed for the accurate experimental characterization and fully automated extraction of compact nonlinear models for Field-Effect Transistors (FETs). The approach, which leads to a charge-conservative ... -
Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
Castillo-Barnes, Diego; Li, Su; Ramírez-Aguilar, Francisco Javier; Salas-González, Diego; Martínez-Murcia, Francisco Jesús; Álvarez-Illán, Ignacio; Segovia, Fermín; Ortiz-García, Andrés; Cruchaga, Carlos; Farlow, Martin R.; Xiong, Chengjie; Graff-Radford, Neil R.; Schofield, Peter R.; Masters, Colin L.; Salloway, Stephen; Jucker, Mathias; Mori, Hiroshi; Levin, Johannes; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2020-01-07)
Despite subjects with Dominantly-Inherited Alzheimer’s Disease (DIAD) represent less than 1% of all Alzheimer’s Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact ... -
Beyond REM: A New Approach to the Use of Image Classifiers for the Management of 6G Networks
Baena-Martínez, Eduardo; Fortes-Rodríguez, Sergio; Muro, Francisco; Baena, Carlos; Barco-Moreno, Raquel (MDPI, 2023-08-29)
The management of cellular networks, particularly within the environment rapidly advancing to 6G, presents considerable challenges due to the highly dynamic radio environment. Traditional tools such as Radio Environment ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
Ariza Cervera, Isaac; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2022-09)
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
Big Data Analytics for Automated QoE Management in Mobile Networks
García, Antonio J.; Toril-Genovés, Matías; Oliver, Pablo; Luna-Ramírez, Salvador; García-Escobar, Rafael (IEEE, 2019-08-01)
Over the last years, there has been a significant increase in the number of services in mobile networks. This trend has forced operators to change their network management processes to ensure adequate user QoE, instead of ... -
Broadband parasitic modeling of diodes in the millimeter-wave band
Pérez-Escribano, Mario; Palomares-Caballero, Ángel; Padilla, Pablo; Valenzuela-Valdés, Juan Francisco; Márquez-Segura, Enrique (Elsevier, 2024-03-06)
This paper presents the extraction of an equivalent circuit model for PIN diodes and varactors in the millimeter waves. This circuit model is handy for new communication applications involving, for example, electronic beam ... -
Ciphered BCH Codes for PAPR Reduction in the OFDM in Underwater Acoustic Channels
Murad, Mohsin; Tasadduq, Imran A.; Otero-Roth, Pablo (IOAP-MDPI, 2022-01-10)
We propose an effective, low complexity and multifaceted scheme for peak-to-average power ratio (PAPR) reduction in the orthogonal frequency division multiplexing (OFDM) system for underwater acoustic (UWA) channels. In ... -
Circular Optical Phased Array with Large Steering Range and High Resolution
(IOAP-MPDI, 2022-08-16)Light detection and ranging systems based on optical phased arrays and integrated silicon photonics have sparked a surge of applications over the recent years. This includes applications in sensing, free-space communications, ... -
Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
Murad, Mohsin; Tasadduq, Imran A.; Otero-Roth, Pablo (IOAP-MPDI, 2022-03-30)
The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication ... -
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Giménez-de-la-Peña, Almudena; Formoso, Marco A. (Elsevier, 2022-01-05)
Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain’s structural and functional organization. Network structure and efficiency reveal different ... -
Composite Fading Models Based on Inverse Gamma Shadowing: Theory and Validation.
(IEEE, 2021-03-17)We introduce a general approach to characterize composite fading models based on inverse gamma (IG) shadowing. We first determine to what extent the IG distribution is an adequate choice for modeling shadow fading, by ... -
Constrained IoT-based machine learning for accurate glycemia forecasting in Type 1 Diabetes patients
(MDPI, 2023-03-31)Individuals with diabetes mellitus type 1 (DM1) tend to check their blood sugar levels multiple times daily and utilize this information to predict their future glycemic levels. Based on these predictions, patients decide ... -
Cooperative Terrestrial-Underwater Wireless Optical Links by Using an Amplify-and-Forward Strategy
Jurado-Navas, Antonio; Álvarez-Roa, Carmen; Álvarez-Roa, María; Castillo-Vázquez, Miguel (IOAP-MPDI, 2022-03-23)
: In this paper, we analyze a combined terrestrial-underwater optical communication link for providing high-speed optical connectivity between onshore and submerge systems. For this purpose, different transmission signaling ... -
Coordinated Multicast/Unicast Transmission on 5G: A Novel Approach for Linear Broadcasting
Jiménez-Soria, David; Martín-Vega, Francisco-Javier; Aguayo-Torres, María del Carmen (Springer, 2021-09-16)
Linear broadcasting services, with a scheduled programming, constitute a paramount tel-ecommunication service for today’s society. Although the existing technology is mature, current linear broadcast ... -
A data-driven scheduler model for QoE assessment in a LTE radio network planning tool
Sánchez Ordóñez, Pablo Antonio; Luna-Ramírez, Salvador; Gijón-Martín, Carolina; Toril-Genovés, Matías; Bejarano-Luque, Juan Luis (2019-11-19)
The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator ... -
Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading.
Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Ramírez-Aguilar, Francisco Javier; Górriz-Sáez, Juan Manuel; Cruz, Ricardo (Elsevier, 2021-09-10)
Evaluation and diagnosis of retina pathology is usually made via the analysis of different image modalities that allow to explore its structure. The most popular retina image method is retinography, a technique that displays ... -
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
Ortiz-García, Andrés; Lozano Cuadra, Federico; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco Javier; Martínez-Murcia, Francisco Jesús (Bentham Science, 2018-01-01)
Feature extraction in medical image processing still remains a challenge, especially in high-dimensionality datasets, where the expected number of available samples is considerably lower than the dimension of the feature ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Luque-Vilaseca, Juan Luis; Giménez-de-la-Peña, Almudena; Morales-Ortega, Roberto; Ortega, Julio[et al.] (World Scientific, 2020-06-04)
Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually ...