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Artículo
Boosting offline handwritten text recognition in historical documents with few labeled lines
(Institute of Electrical and Electronics Engineers Inc., 2021)
In this paper we address the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in the train set. Our three main contributions ...
Artículo
On the Optimum Number of Coefficients of Sparse Digital Predistorters: A Bayesian Approach
(IEEE, 2020-12)
This work presents insights on the application of the Bayesian information criterion (BIC) to fix the optimum number of coefficients in the Volterra series applied to the modeling and linearization of power amplifiers ...
Artículo
A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home
(MDPI, 2021-11)
Frailty syndrome is an independent risk factor for serious health episodes, disability, hospitalization, falls, loss of mobility, and cardiovascular disease. Its high reversibility demands personalized interventions among ...
Artículo
A bivariate volterra series model for the design of power amplifier digital predistorters
(MDPI, 2021)
The operation of the power amplifier (PA) in wireless transmitters presents a trade-off between linearity and power efficiency, being more efficient when the device exhibits the highest nonlinearity. Its modeling and ...
Artículo
Prediction of Satellite Shadowing in Smart Cities with Application to IoT
(MDPI, 2020-01)
The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. ...
Artículo
Adaptation and application of the IEEE 2413-2019 standard security mechanisms to IoMT systems
(Elsevier, 2022-08)
Healthcare information systems are evolving from traditional centralised architectures towards highly-mobile distributed environments within the connected health context. The IoMT paradigm is at the forefront of this ...
Artículo
A Method for Unsupervised Semi-Quantification of Inmunohistochemical Staining with Beta Divergences
(MPDI, 2022-02)
In many research laboratories, it is essential to determine the relative expression levels of some proteins of interest in tissue samples. The semi-quantitative scoring of a set of images consists of establishing a scale ...
Artículo
Special Issue “Body Sensors Networks for E-Health Applications”
(MDPI, 2020-07)
Body Sensor Networks (BSN) have emerged as a particularization of Wireless Sensor Networks (WSN) in the context of body monitoring environments, closely linked to healthcare applications. These networks are made up of ...
Artículo
Sparse identification of volterra models for power amplifiers without pseudoinverse computation
(Institute of Electrical and Electronics Engineers Inc., 2021)
We present a new formulation of the doubly orthogonal matching pursuit (DOMP) algorithm for the sparse recovery of Volterra series models. The proposal works over the covariance matrices by taking advantage of the orthogonal ...
Artículo
An Upgraded Dual-Band Digital Predistorter Model for Power Amplifiers Linearization
(IEEE, 2021-01)
Digital predistortion (DPD) based on Volterra models is commonly employed to counteract the nonlinear distortion of power amplifiers. However, when concurrent dual-band signals are transmitted, 2-D DPD models are required. ...