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Listar Teoría de la Señal y Comunicaciones por autor "Cruces Álvarez, Sergio Antonio"
Mostrando ítems 1-19 de 19
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Artículo
A Joint Optimization Criterion for Blind DS-CDMA Detection
Durán Díaz, Iván; Cruces Álvarez, Sergio Antonio (Hindawi Publishing Corporation, 2006)This paper addresses the problem of the blind detection of a desired user in an asynchronous DS-CDMA communications ...
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Artículo
A Sparse-Bayesian Approach for the Design of Robust Digital Predistorters Under Power-Varying Operation
Crespo Cadenas, Carlos; Madero Ayora, María José; Becerra González, Juan Antonio; Cruces Álvarez, Sergio Antonio (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) ...
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Artículo
Centroid-Based Clustering with ab-Divergences
Sarmiento Vega, María Auxiliadora; Fondón García, Irene; Durán Díaz, Iván; Cruces Álvarez, Sergio Antonio (MDPI AG, 2019-02-19)Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ...
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Artículo
Centroid-Based Clustering with αβ-Divergences
Sarmiento Vega, María Auxiliadora; Fondón García, Irene; Durán Díaz, Iván; Cruces Álvarez, Sergio Antonio (MDPI AG, 2019)Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ...
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Ponencia
Combining blind source extraction with joint approximate diagonalization: Thin algorithms for ICA
Cruces Álvarez, Sergio Antonio; Cichocki, Andrzej (2003)In this paper a multivariate contrast function is proposed for the blind signal extraction of a subset of the indepen ...
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Artículo
EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators
Olías, Javier; Martín Clemente, Rubén; Sarmiento Vega, María Auxiliadora; Cruces Álvarez, Sergio Antonio (IEEE, 2019)In brain-computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the ...
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Artículo
EEG signal processing in mi-bci applications with improved covariance matrix estimators
Olías Sánchez, Francisco Javier; Martín Clemente, Rubén; Sarmiento Vega, María Auxiliadora; Cruces Álvarez, Sergio Antonio (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 ...
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Tesis Doctoral
EEG Signal Processing in Motor Imagery Brain Computer Interfaces with Improved Covariance Estimators
Olías Sánchez, Francisco Javier (2020-04-24)Desde hace unos años hasta la actualidad, el desarrollo en el campo de los interfaces cerebro ordenador ha ido aumentando. ...
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Tesis Doctoral
Electroencephalograph (EEG) signal processing techniques for motor imagery Brain Computer interface systems
Thiyam, Deepa Beeta (2018-06-11)Brain-Computer Interface (BCI) system provides a channel for the brain to control external devices using electrical ...
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Artículo
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization
Cichocki, Andrzej; Cruces Álvarez, Sergio Antonio; Amari, Shun-ichi (Multidisciplinary Digital Publishing Institute, 2011)We propose a class of multiplicative algorithms for Nonnegative Matrix Factorization (NMF) which are robust with respect ...
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Ponencia
Globally convergent Newton algorithms for blind decorrelation
Cruces Álvarez, Sergio Antonio; Cichocki, Andrzej (2003)This paper presents novel Newton algorithms for the blind adaptive decorrelation of real and complex processes. They are ...
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Artículo
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
Martín Clemente, Rubén; Olías Sánchez, Francisco Javier; Thiyam, Deepa Beeta; Cichocki, Andrzej; Cruces Álvarez, Sergio Antonio (MDPI, 2018-01-02)Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) ...
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Artículo
Information Theory Applications in Signal Processing
Cruces Álvarez, Sergio Antonio; Martín Clemente, Rubén; Samek, Wojciech (MDPI, 2019-07) -
Artículo
Initialization method for speech separation algorithms that work in the time-frequency domain
Sarmiento Vega, María Auxiliadora; Durán Díaz, Iván; Cruces Álvarez, Sergio Antonio (Acoustical Society of America, 2010)This article addresses the problem of the unsupervised separa tion of speech signals in realistic scenarios. An initialization ...
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Artículo
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences
Cichocki, Andrzej; Cruces Álvarez, Sergio Antonio; Amari, Shun-ichi (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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Artículo
Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements
Thiyam, Deepa Beeta; Cruces Álvarez, Sergio Antonio; Olías Sánchez, Francisco Javier; Cichocki, Andrzej (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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Artículo
Solving permutations in frequencyy-domain for blind separation of an arbitrary number of speech sources
Durán Díaz, Iván; Sarmiento Vega, María Auxiliadora; Cruces Álvarez, Sergio Antonio; Aguilera Bonet, Pablo (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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Tesis Doctoral
Theory and applications of bounded component analysis in complex-valued signal processing
Aguilera Bonet, Pablo (2013)Esta Tesis Doctoral está dedicada al estudio de la teoría y de las aplicaciones del Análisis de Componentes Acotadas (BCA), ...
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Artículo
Unsupervised Common Spatial Patterns
Martín Clemente, Rubén; Olías Sánchez, Francisco Javier; Cruces Álvarez, Sergio Antonio; Antonio Zarzoso, Vicente (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 ...