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Artículo
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Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
(MDPI, 2021-09)
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, ...
Artículo
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Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review
(MDPI, 2020-01)
Non-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant incidence on quality of life. Pain intensity is largely perceived as a subjective experience, ...
Tesis Doctoral
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Expectation propagation as a solution for digital communication systems.
(2018-11-16)
In the context of digital communications, a digital receiver is required to provide an estimation of the transmitted symbols. Nowadays channel decoders highly benefit from soft (probabilistic) estimates for each transmitted ...
Artículo
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Smart Device for the Determination of Heart Rate Variability in Real Time
(Hindawi, 2017-11)
This work presents a first approach to the design, development, and implementation of a smart device for the real-time measurement and detection of alterations in heart rate variability (HRV). The smart device follows a ...
Artículo
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Effect of the side of presentation in the visual field on phase‑locked and nonphase‑locked alpha and gamma responses
(Springer Nature, 2022)
Recent studies have suggested that nonphase-locked activity can reveal cognitive mechanisms that cannot be observed in phase-locked activity. In fact, we describe a concomitant decrease in nonphase-locked alpha activity ...
Ponencia
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Detection of microcalcifications in mammograms using 2D prediction filtering and a new statistical measure of the right tail weight
(2005-11)
In this paper, a new method to detect microcalcifications in mammograms is presented. The method is based on a candidate selection procedure which consists of a two-dimensional linear prediction adaptive filtering ...
Artículo
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A hypothesis-driven method based on machine learning for neuroimaging data analysis
(Elsevier, 2022)
There remains an open question about the usefulness and the interpretation of machine learning (ML) approaches for discrimination of spatial patterns of brain images between samples or activation states. In the last few ...
Tesis Doctoral
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Análisis de imágenes dermatoscópicas para el diagnostico de lesiones pigmentadas
(2022-10-18)
En este trabajo se realiza un análisis de imágenes dermatoscópicas con el objetivo de ayudar en el proceso de priorización de las consultas en el triaje de los centros de atención primaria. Específicamente, se plantea la ...
Artículo
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Performance of a behavioral model with long-term memory effects
(Cambridge University Press, 2013-08)
This paper presents a new behavioral model for power amplifiers that accomplishes the capture of nonlinear low-frequency memory effects with reduced complexity and superior precision. It has been extensively evaluated with ...
Artículo
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Revisión sistemática de la aplicación de algoritmos de «machine learning» en la esclerosis múltiple
(Sociedad Española de Neurología, 2023)
Introducción: La aplicación de la inteligencia artificial y en particular de algoritmos de aprendizaje automático o «machine learning» (ML) constituye un desafío y al mismo tiempo una gran oportunidad en diversas disciplinas ...