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Mostrando ítems 1-4 de 4
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
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
Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
(MDPI, 2021-09)
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, ...
Artículo
Upgrading Behavioral Models for the Design of Digital Predistorters
(MDPI AG, 2021)
This work presents a strategy to upgrade models for power amplifier (PA) behavioral modeling and digital predistortion (DPD). These incomplete structures are the consequence of nonlinear order and memory depth model ...