Listar Ingeniería de Comunicaciones - (IC) por título
Mostrando ítems 213-232 de 594
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EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
(International Journal of Neural Systems, 2023)While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
EEG Signal Analysis for the Detection of Spoken Language Comprehension
(2022-09)The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those ... -
Efecto del desalineamiento en enlaces para comunicaciones entre vehı́culos con luz visible
In this paper, the impact of misalignments on visible-light vehicle-to-vehicle (V2V) links is examined. By means of modeling and simulation, the signal-to-noise ratio (SNR) of the V2V channel formed by two vehicles driving ... -
Efectos de la Conductividad en la Estimación de los Parámetros de Propagación de una Línea Stripline Fabricada Mediante Impresión de Tintas Conductoras
(2021-09-23)This contribution presents the characterization of a stripline embedded in a coaxial system. The stripline has been manufactured using HIPS as the main substrate. The metallic strip has been manufactured on 50mm thick ... -
Eigenstate equivalent circuit for bi-periodic surfaces: Application to three parallel dipoles
(2022-03-29)An equivalent circuit for the unit cell of bi-periodic surfaces is proposed. The equivalent circuit is general and simple. It is based on the decomposition of the eigenmodes of the structure and it takes into account the ... -
Elemento radiante de banda ancha en microstrip cerrada para arrays alimentados en serie
(2018-09-07)A previous radiating element in transmission configuration proposed by the authors is alternatively implemented using enclosed microstrip configuration. The new implementation overcomes fabrication issues and improves its ... -
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
(World Scientific, 2018-10-16)Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain representative ... -
End-launcher repeatability in broadband methods for characterization of the propagation constant of transmission lines using two-port measurements.
(IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022-04-09)This work presents an analysis of the influence of connector repeatability in three different methods for estimating the propagation constant of transmission lines from two-port measurements. For this purpose, the repeatability ... -
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification.
(Springer, 2023-09-11)The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this ... -
An energy-efficient integration of a digital modulator and a Class-D amplifier
(MDPI, 2020-08-16)Energy consumption is always a key feature in devices powered by electric accumulators. The power amplifier is the most energy-demanding module in mobile devices, portable appliances, static transceivers, and even nodes ... -
Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks
(MDPI, 2021-06-25)Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. Maintaining adequate power consumption is one of the critical ones, for obvious reasons. This includes proper energy consumption ... -
Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process
(IOAP-MDPI, 2022-11-18)The use of underwater sensor networks (UWSNs) offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) and registering of geological events (landslides, earthquakes). ... -
Energy-Efficient Routing Protocols for Ad Hoc Underwater Sensor Networks.
(UMA Editorial, 2023)Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. The use of UWSNs offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) ... -
Engineering sub-wavelength silicon waveguides for sensing applications in the near-infrared and mid-infrared band
(2019-02-08)Silicon photonics is one of the most promising candidates to achieve lab-on-a-chip systems. Making use of the evanescent-field sensing principle, it is possible to determine the presence and concentration of substances by ... -
Engineering the optical properties of silicon using sub-wavelength structures
(IEEE Photonics Society, 2013)In most integrated optics platforms, including silicon-on-insulator, only minor modifications in refractive index are possible. The geometry of the waveguiding structure is thus the only degree of freedom for the design ... -
Enhanced average for event-related potential analysis using dynamic time warping
(Elsevier, 2023-10-05)Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to ... -
Enhanced sensitivity subwavelength grating waveguides for silicon photonics sensing applications
(2019-07-16)In this work we will review the enormous potential of subwavelength grating waveguides for sensing applications in the near and mid-infrared bands, demonstrating the capability to engineer the mode profile to maximize the ... -
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
(World Scientific, 2023-02-18)The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ... -
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
(2024)Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
(Elsevier, 2017-12-11)Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ...