Listar Artículos (Teoría de la Señal y Comunicaciones) por título
Mostrando ítems 59-78 de 97
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L1-norm unsupervised Fukunaga-Koontz transform
(Elsevier, 2021)The Fukunaga-Koontz transform (FKT) is a powerful supervised feature extraction method used in twoclass recognition problems, ...
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Lessons Learned about the Design and Active Characterization of On-Body Antennas in the 2.4 GHz Frequency Band
(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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Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences
(MDPI, 2015-05-08)This work reviews and extends a family of log-determinant (log-det) divergences for symmetric positive definite (SPD) ...
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Low-Power platform and communications for the development of wireless body sensor networks
(SAGE Publishing, 2015)Although the roles of body sensor networks (BSNs) are similar to those carried out by the generic wireless sensor ...
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Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate-Coding and Coincidence Processing. Application to Feed-Forward ConvNets
(Institute of Electrical and Electronics Engineers (IEEE), 2013)Event-driven visual sensors have attracted interest from a number of different research communities. They provide visual ...
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Memoria del curso de formación de profesores noveles 2002/03
(Universidad de Sevilla, 2004) -
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Neuromuscular disease classification system
(Spie-soc photo-optical instrumentation engineers, 2013)Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist ...
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Nonlinear effects in lte downlink signals and application of a compensation technique at the receiver side
(Wiley, 2012-01)This article proposes a nonlinear compensation technique for long-term evolution downlink signals based on the memoryless ...
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On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
(Frontiers Media, 2018)In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating ...
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On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
(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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On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex
(Frontiers Media, 2011)In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered ...
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On the implementation of distributed asynchronous non-linear kernel methods over wireless sensor networks
(Springer, 2015)In this paper, we face the implementation of a non-linear kernel method for regression on a wireless sensor network (WSN) ...
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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 ...
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Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements
(MDPI, 2017-02-25)The Alpha-Beta Log-Det divergences for positive definite matrices are flexible divergences that are parameterized by two ...
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Passive RFID-Based Inventory of Traffic Signs on Roads and Urban Environments
(MDPI, 2018-07)This paper presents a system with location functionalities for the inventory of traffic signs based on passive RFID ...
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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 ...
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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 ...
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Principales problemas de los profesores principiantes en la enseñanza universitaria
(2010)Se presentan y discuten algunas reflexiones sobre los principales problemas que los profesores principiantes encuentran ...
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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 ...