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

RACHEL project

The GTAS group has initiated in 2014 the RACHEL project "Radio Access Techniques for Heterogeneous Wireless Networks" (TEC2013-47141-C3-R), in collaboration with the Universidad de A Coruña, Universidad de Valencia and CEIT. The project is funded by the Ministerio de Economía y Competitividad (Plan Nacional I+D+I).

Special Session at ICASSP 2015

David Ramírez (former GTAS member) is co-organizing, with Javier Vía (GTAS Member) and Louis Scharf (Colorado State University), a special session at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), to be held from the 19th – 24th April 2015 in Brisbane, Australia.

The Special Session is entitled "Theory and Application of Coherence in Signal Processing" and will have high-quality contributions from well known researchers on Statistical Signal Processing.

Paper accepted at Integrated Computer-Aided Engineering

The paper "Blind Analysis of Atrial Fibrillation Electrograms: A Sparsity-Aware Formulation", coathored by D. Luengo, S. Monzón, T. Trigano, J. Vía, and A. Artés-Rodríguez, has been accepted for publication in the journal Integrated Computer-Aided Engineering (ICAE).

IEEE Transactions on Neural Networks and Learning Systems front cover

Paper accepted at IEEE Transactions on Neural Networks and Learning Systems

The paper "Sparse Multivariate Gaussian Mixture Regression", coauthored by L. Weruaga and J. Vía has been accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems.

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