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Mostrando ítems 1-10 de 19
Artículo
Information Theory Applications in Signal Processing
(MDPI, 2019-07)
Artículo
Centroid-Based Clustering with ab-Divergences
(MDPI AG, 2019-02-19)
Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The success of any centroid-based clustering relies on the choice of the similarity measure under use. ...
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
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) matrices and discusses their fundamental properties. We show how to use parameterized Alpha-Beta (AB) ...
Artículo
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 procedure is proposed for independent component analysis (ICA) algorithms that work in the ...
Tesis Doctoral
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), una técnica de análisis de componentes latentes cuya aplicación es resolver un buen número de ...
Artículo
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
(MDPI, 2018-01-02)
Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) technique is a well-established approach to the spatial filtering of the electroencephalogram (EEG) ...
Ponencia
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 components from a linear mixture. This contrast com bines the robustness of the joint approximate ...
Artículo
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 trial covariance matrices, given the high non-stationarity of the EEG sources. We propose the ...
Tesis Doctoral
EEG Signal Processing in Motor Imagery Brain Computer Interfaces with Improved Covariance Estimators
(2020-04-24)
Desde hace unos años hasta la actualidad, el desarrollo en el campo de los interfaces cerebro ordenador ha ido aumentando. Este aumento viene motivado por una serie de factores distintos. A medida que aumenta el conocimiento ...