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.



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.

Special Issue on Experimental Evaluation on Wireless Communications

Javier Vía is Guest-Editor of the Special Issue on Experimental Evaluation in Wireless Communications of the EURASIP Journal on Wireless Communications and Networking. Paper submission deadline: October 31, 2014.


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