SARMIENTO VEGA , María Auxiliadora

La Ingeniería de Telecomunicación ha sido tradicionalmente una carrera considerada como masculina, ya que el porcentaje de mujeres que iniciaban su andadura en el campo de las telecomunicaciones era mínimo. Con el paso de los años y el aumento general del número de universitarias, esta titulación no debería ser un campo vedado para las mujeres....

Se presentan y discuten algunas reflexiones sobre los principales problemas que los profesores principiantes encuentran en la enseñanza universitaria. Dichas dificultades se clasifican y analizan en tres ámbitos: el de la enseñanza, el de las relaciones interpersonales y el de la gestión o el contexto institucional. Se resalta la importancia de...

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 time-frequency domain and require the prewhitening of the observations. It is shown that the proposed method drastically reduces...

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 of two techniques that significantly improve the accuracy of these estimations and can be combined with a wide range of...

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. In recent years, most studies focused on including several divergence measures in the traditional hard k-means algorithm. In...

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. In recent years, most studies focused on including several divergence measures in the traditional hard k-means algorithm. In...