Buscar
Mostrando ítems 1-10 de 13
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 ...
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) ...
Artículo
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 system with multipath propagation channels. Starting from the inverse filter criterion introduced by ...
Artículo
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 digital predistorter (DPD) modeling. To learn a model, the advanced Bayesian framework includes ...
Artículo
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 (BCI) systems. In the two-class CSP problem, training data are linearly projected onto direc tions ...
Artículo
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 real constants and are able to specialize several relevant classical cases like the squared Riemannian ...