Listar Artículos (Teoría de la Señal y Comunicaciones) por título
Mostrando ítems 81-100 de 100
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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 ...
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Segmentation and classification of burn images by color and texture information
(Spie-soc photo-optical instrumentation engineers, 2005)In this paper, a burn color image segmentation and classification system is proposed. The aim of the system is to separate ...
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Segmentation-based lossless compression of burn wound images
(Society of Photo-optical Instrumentation Engineers, 2001)Color images may be encoded by using a gray-scale image compression technique on each of the three color planes. Such an ...
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Self-assessed Contrast-Maximizing Adaptive Region Growing
(Springer, 2009)In the context of an experimental virtual-reality surgical planning software platform, we propose a fully self-assessed ...
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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 ...
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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 ...
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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 ...
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Smart vest for respiratory rate monitoring of COPD patients based on non-contact capacitive sensing
(MDPI, 2018)In this paper, a first approach to the design of a portable device for non-contact monitoring of respiratory rate by ...
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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 ...
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Solving permutations in frequencyy-domain for blind separation of an arbitrary number of speech sources
(Acoustical Society of America, 2011)Blind separation of speech sources in reverberant environ ments is usually performed in the time-frequency domain, which ...
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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 ...
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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 ...
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The Generalized Complex Kernel Least-Mean-Square Algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2019-08)We propose a novel adaptive kernel-based regression method for complex-valued signals: the generalized complex-valued ...
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Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention
(Springer Verlag, 2014)Neuromorphic hardware and cognitive robots seem like an obvious fit, yet progress to date has been frustrated by a lack ...
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Transmitter Linearization Adaptable to Power-Varying Operation
(IEEE, 2017-10)This paper presents the design of a power-scalable digital predistorter (DPD) for transmitter architectures. The target ...
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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 ...
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Unsupervised and Computationally Lightweight Spectrum Sensing in IoT Devices †
(MDPI, 2022)Principal component analysis (PCA) is a widespread technique in data analysis. Recently, the L1-norm has been proposed as ...
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Unsupervised Common Spatial Patterns
(Institute of Electrical and Electronics Engineers Inc., 2019)The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface ...
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Upgrading Behavioral Models for the Design of Digital Predistorters
(MDPI AG, 2021)This work presents a strategy to upgrade models for power amplifier (PA) behavioral modeling and digital predistortion ...
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Volterra Behavioral Model for Wideband RF Amplifiers
(IEEE, 2007-03)This paper proposes a behavioral modeling approach for the description of nonlinearities in wideband wireless communication ...