Author profile: Cruces Álvarez, Sergio Antonio
Institutional data
Name | Cruces Álvarez, Sergio Antonio |
Department | Teoría de la Señal y Comunicaciones |
Knowledge area | Teoría de la Señal y Comunicaciones |
Professional category | Catedrático de Universidad |
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Statistics
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No. publications
30
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No. visits
7242
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No. downloads
17949
Publications |
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Final Degree Project
![]() Analíticas de redes y grafos
(2023)
La teoría de grafos puede ser una herramienta muy útil para analizar y optimizar los sistemas de transporte, la arquitectura ... |
Master's Final Project
![]() On Riemannian tools for classification improvement in Brain-Computer Interfaces
(2022)
A Brain Computer Interface (BCI) or Brain Machine Interface (BMI) is a device that allows the exchange of information ... |
Article
![]() A Sparse-Bayesian Approach for the Design of Robust Digital Predistorters Under Power-Varying Operation
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
In this article, a sparse-Bayesian treatment is proposed to solve the crucial questions posed by power amplifier (PA) and ... |
Final Degree Project
![]() Machine Learning para MI-BCI orientada al procesado de las señales EEG en tiempo real
(2021)
Una interfaz cerebro-ordenador (Brain Computer Interface (BCI)) es un sistema que lee señales emitidas en el cerebro, las ... |
PhD Thesis
![]() EEG Signal Processing in Motor Imagery Brain Computer Interfaces with Improved Covariance Estimators
(2020)
Desde hace unos años hasta la actualidad, el desarrollo en el campo de los interfaces cerebro ordenador ha ido aumentando. ... |
Final Degree Project
![]() EEG signal classification for MI-BCI applications
(2020)
Una Interfaz Cerebro Ordenador (o BCI por sus siglas en inglés) es un sistema que permite al usuario producir instrucciones ... |
Article
![]() Information Theory Applications in Signal Processing
(MDPI, 2019)
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Article
![]() Centroid-Based Clustering with ab-Divergences
(MDPI AG, 2019)
Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ... |
Article
![]() 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 ... |
Article
![]() EEG signal processing in mi-bci applications with improved covariance matrix estimators
(Institute of Electrical and Electronics Engineers Inc., 2019)
n brain–computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the ... |
Final Degree Project
![]() Análisis e identificación de potenciales evocados en el electroencefalograma
(2019)
Las interfaces cerebro-computadora (BCI) sugieren un gran avance para la medicina. Entre sus diferentes usos, está la ... |
Article
![]() 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 ... |
Article
![]() Centroid-Based Clustering with αβ-Divergences
(MDPI AG, 2019)
Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ... |
Master's Final Project
![]() Detección automática de emociones mediante el análisis del electroencefalograma
(2019)
Las emociones son un importante factor en la vida humana y conforman un aspecto de suma relevancia en la comunicación e ... |
PhD Thesis
![]() Electroencephalograph (EEG) signal processing techniques for motor imagery Brain Computer interface systems
(2018)
Brain-Computer Interface (BCI) system provides a channel for the brain to control external devices using electrical ... |
Article
![]() Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
(MDPI, 2018)
Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) ... |
Final Degree Project
![]() Medición, procesado y clasificación de señales electroencefalográficas
(2018)
El objetivo principal de este trabajo es el de implementar un sistema BCI (Brain Computer Interface) mediante un dispositivo ... |
Final Degree Project
![]() Reconocimiento facial basado en redes neuronales convolucionales
(2018)
El reconocimiento facial representa un importante campo de estudio en la actualidad debido a la variedad de aplicaciones ... |
Article
![]() Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements
(MDPI, 2017)
The Alpha-Beta Log-Det divergences for positive definite matrices are flexible divergences that are parameterized by two ... |
Final Degree Project
![]() Técnicas de factorización no-negativa de matrices en sistemas de recomendación
(2017)
Cualquier persona que hoy en día utilice internet está, de un modo u otro, alimentando de datos a más de un sistema de ... |
Master's Final Project
![]() Estudio del método Common Spatial Patterns y sus variantes en interfaces cerebro-ordenador
(2016)
Las comunicaciones Brain Computer Interface (BCI) consisten en una tecnología que permite que las personas puedan comunicarse ... |
Article
![]() Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences
(MDPI, 2015)
This work reviews and extends a family of log-determinant (log-det) divergences for symmetric positive definite (SPD) ... |
Final Degree Project
![]() Técnicas de Procesado de Señales Cerebrales
(2015)
Este proyecto pretende servir como introducción a las interfaces cerebro-ordenador (BCI) cen- trándose en la parte del ... |
PhD Thesis
![]() ![]() Theory and applications of bounded component analysis in complex-valued signal processing
(2013)
Esta Tesis Doctoral está dedicada al estudio de la teoría y de las aplicaciones del Análisis de Componentes Acotadas (BCA), ... |
Article
![]() 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 ... |
Article
![]() Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization
(Multidisciplinary Digital Publishing Institute, 2011)
We propose a class of multiplicative algorithms for Nonnegative Matrix Factorization (NMF) which are robust with respect ... |
Article
![]() Initialization method for speech separation algorithms that work in the time-frequency domain
(Acoustical Society of America, 2010)
This article addresses the problem of the unsupervised separa tion of speech signals in realistic scenarios. An initialization ... |
Article
![]() A Joint Optimization Criterion for Blind DS-CDMA Detection
(Hindawi Publishing Corporation, 2006)
This paper addresses the problem of the blind detection of a desired user in an asynchronous DS-CDMA communications ... |
Presentation
![]() Combining blind source extraction with joint approximate diagonalization: Thin algorithms for ICA
(2003)
In this paper a multivariate contrast function is proposed for the blind signal extraction of a subset of the indepen dent ... |
Presentation
![]() Globally convergent Newton algorithms for blind decorrelation
(2003)
This paper presents novel Newton algorithms for the blind adaptive decorrelation of real and complex processes. They are ... |