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.



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.

Junior Researcher: Pattern Recognition for Non-Destructive Evaluation

The Advanced Signal Processing Group (GTAS) is seeking a junior researcher to collaborate on a project on non-destructive evaluation. The project will involve the design and implementation of pattern recognition techniques.

Paper accepted in IEEE Transactions on Signal Processing

The paper "Detection of Multivariate Cyclostationarity", co-authored by D. Ramirez, P. J. Schreier, J. Via, I. Santamaría and L. L. Scharf, has been accepted for publication in the IEEE Transactions on Signal Processing.

PhD Thesis Christian Lameiro

Christian Lameiro will defend his PhD work "Cooperative Techniques for Interference Management in Wireless Networks" on May 14th.


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