Welcome

The Advanced Signal Processing Group (GTAS, in Spanish) is part of the Communications Engineering Department of the University of Cantabria. It is located at the E.T.S.I. Industriales y Telecomunicaciones, Avda Los Castros s/n. Santander 39005, SPAIN.

The GTAS conducts research in the development of digital signal processing algorithms for communications, as well as in machine-learning techniques and nonlinear modeling. Currently, the research activity of the GTAS is focused on the following topics:

  • Signal processing techniques for MIMO communication links.
    • CSI (Channel State Information) estimation techniques, synchronization, detection techniques,...
    • Capacity analysis of MIMO links.
    • Development of hardware MIMO testbeds and performance evaluation.
  • Machine-learning techniques and their applications.
    • Kernel methods, neural networks and adaptive information processing systems.
    • Multivariate statistical techniques: PCA, CCA and ICA.
    • Nonlinear modeling.

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News

Paper presented at ICASSP 2016

The paper "Maximally Improper Interference in Underlay Cognitive Radio Networks" co-authored by C. Lameiro, I. Santamaría, W. Utschick and P. J. Schreier, has been presented at ICASSP 2016, Shanghai, China.

Oferta de trabajo en proyecto de reconocimientos de patrones

(Click "Read more" for English version.)

El Grupo de Tratamiento Avanzado de Señal está buscando un investigador para colaborar en un proyecto sobre reconocimiento de patrones y aprendizaje automático. Participará en el diseño y la programación de técnicas de reconocimiento automático de patrones.

COMONSENS Network

The GTAS group participates in the COMONSENS Network (TEC2015-69648-REDC): a project funded by The Ministerio de Economia y Competitividad which aims at the fertilization of the research collaboration links initiated and developed during the COMONSENS project. The first COMONSENS Workshop will be held in Seville, 28-29 January, 2016.

PRISMA project

The GTAS group has initiated the PRISMA project "Advanced Machine Learning Techniques for Pattern Recognition in Time Series" (TEC2014-57402-JIN). The project is funded by the Ministerio de Economía y Competitividad (Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016).

Paper accepted in IEEE Transactions on Information Theory

The paper "On the Number of Interference Alignment Solutions for the K-User MIMO Channel with Constant Coefficients", co-authored by O. González, C. Beltrán and I. Santamaría, has been accepted for publication in the IEEE Transactions on Information Theory.

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