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Mostrando ítems 11-20 de 59
Artículo
Análisis comparativo de los métodos de bioimpedancia en la evaluación nutricional de pacientes con enfermedades respiratorias
(Asociación de Neumología y Cirugía Torácica del Sur (Neumosur), 2018)
Artículo
Fast parameter-free region growing segmentation with application to surgical planning
(Springer, 2012-01)
In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical planning software platform, our method successfully delineates main tissues ...
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
A New Approach to Pruning Volterra Models for Power Amplifiers
(IEEE, 2010-04)
The objective of this paper is to present an approach to behavioral modeling that can be applied to predict the nonlinear response of power amplifiers with memory. Starting with the discrete-time, complex-baseband full ...
Artículo
Smart Bioimpedance Spectroscopy Device for Body Composition Estimation
(MDPI, 2019-12)
The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance ...
Artículo
Software tool for contrast enhancement and segmentation of melanoma images based on human perception
(Universidad de Sevilla, 2013)
In this paper we present a software tool for melanoma border detection (MBD). It has been designed to be incorporated in any Computer Aided Diagnosis Tool (CAD) for early detection of melanoma in mass screening programs. ...
Artículo
A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
(IEEE, 2018-08)
This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt orthogonalization is synergistically integrated into the orthogonal matching ...
Artículo
EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators
(IEEE, 2019)
In brain-computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the trial covariance matrices, given the high non-stationarity of the EEG sources. We propose the application ...
Artículo
Turbo EP-Based Equalization: A Filter-Type Implementation
(IEEE Communications Society, 2018-09)
We propose a novel filter-type equalizer to improve the solution of the linear minimum-mean squared-error (LMMSE) turbo equalizer, with computational complexity constrained to be quadratic in the filter length. When ...