Teoría de la Señal y Comunicaciones: Recent submissions
Now showing items 1-20 of 66
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Análisis comparativo de los métodos de bioimpedancia en la evaluación nutricional de pacientes con enfermedades respiratorias [Article]
(Asociación de Neumología y Cirugía Torácica del Sur (Neumosur), 2018) -
Individual test-retest reliability of evoked and induced alpha activity in human EEG data [Article]
(Biblioteca Pública de Ciencias, 2020)Se han asociado diversos mecanismos psicológicos con modulaciones de diferentes frecuencias de EEG. Según nuestro conocimiento, ...
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Special Issue “Body Sensors Networks for E-Health Applications” [Article]
(MDPI, 2020-07)Body Sensor Networks (BSN) have emerged as a particularization of Wireless Sensor Networks (WSN) in the context of body ...
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Smart Bioimpedance Spectroscopy Device for Body Composition Estimation [Article]
(MDPI, 2019-12)The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application ...
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Lessons Learned about the Design and Active Characterization of On-Body Antennas in the 2.4 GHz Frequency Band [Article]
(MDPI, 2019-12)This work addresses the design and experimental characterization of on-body antennas, which play an essential role within ...
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Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review [Article]
(MDPI, 2020-01)Non-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant ...
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Prediction of Satellite Shadowing in Smart Cities with Application to IoT [Article]
(MDPI, 2020-01)The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in ...
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EEG Signal Processing in Motor Imagery Brain Computer Interfaces with Improved Covariance Estimators [PhD Thesis]
(2020-04-24)Desde hace unos años hasta la actualidad, el desarrollo en el campo de los interfaces cerebro ordenador ha ido aumentando. ...
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Smart Device for the Determination of Heart Rate Variability in Real Time [Article]
(Hindawi, 2017-11)This work presents a first approach to the design, development, and implementation of a smart device for the real-time measurement ...
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Performance Study of Software AER-Based Convolutions on a Parallel Supercomputer [Presentation]
(Springer, 2011)This paper is based on the simulation of a convolution model for bioinspired neuromorphic systems using the ...
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On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing [Article]
(IEEE Computer Society, 2008)In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is ...
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Formatos y publicaciones de la ETSI [Presentation]
(2014-11-21) -
Information Theory Applications in Signal Processing [Article]
(MDPI, 2019-07) -
Electroencephalograph (EEG) signal processing techniques for motor imagery Brain Computer interface systems [PhD Thesis]
(2018-06-11)Brain-Computer Interface (BCI) system provides a channel for the brain to control external devices using electrical ...
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Centroid-Based Clustering with ab-Divergences [Article]
(MDPI AG, 2019-02-19)Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ...
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Advanced signal processing techniques for the modeling and linearization of wireless communication systems. [PhD Thesis]
(2019-02-14)Los nuevos estándares de comunicaciones digitales inalámbricas están impulsando el diseño de amplificadores de potencia ...
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Simulador de sistemas AER basados en eventos [Presentation]
(2008)Address-Event-Representation (AER) is a communications protocol for transferring (visual) information between chips, ...
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Sistema de reconocimiento de caracteres de alta velocidad basado en eventos [Presentation]
(2011)Spike-based processing technology is capable of very high speed throughput, as it does not rely on sensing and processing ...
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Segmentation of bone structures in 3D CT images based on continuous max- ow optimization [Presentation]
(Society of Photo-optical Instrumentation Engineers (SPIE), 2015)In this paper an algorithm to carry out the automatic segmentation of bone structures in 3D CT images has been implemented. ...
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Clustering learning for robotic vision [Presentation]
(2013)We present the clustering learning technique applied to multi-layer feedforward deep neural networks. We show that this ...