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.



Paper accepted in Signal Processing

The paper "Spatial interference shaping for underlay MIMO cognitive networks" co-authored by Christian Lameiro, Wolfgang Utschick and Ignacio Santamaría has been accepted for publication in Signal Processing.

Paper accepted in IEEE Transactions on Signal Processing

The paper "Homotopy Continuation for Spatial Interference Alignment in Arbitrary MIMO X Networks", co-authored by J. Fanjul, O. Gonzalez, I. Santamaría and C. Beltran, has been accepted for publication in the IEEE Transactions on Signal Processing.

Paper to be presented at the 24th Telecomunications Forum (TELFOR 2016)

The paper " Advanced Wireless Sensor Nodes and Networks for Agricultural Applications," co-authored by Z. Stamenković, S. Randjić, I. Santamaria, U. Pešović, G. Panić, and S. Tanasković, will presented at the 24th Telecomunications Forum (TELFOR 2016), Belgrade Serbia, Nov. 22-23, 2016.

Paper presented at Asilomar 2016

The paper "Canonical Correlations for Target Detection in a Passive Radar Network" co-authored by Y. Wang, L. Scharf, I. Santamaria and H. Wang, will be presented at the 2016 Asilomar Conference on Signals, Systems and Computers, in Pacific Grove (CA), USA, Nov. 6-9, 2016.

Paper presented at MLSP 2016

The paper "On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares Algorithms" co-authored by S. Van Vaerenbergh, J. Fernández-Bes, and V. Elvira, has been presented at the 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), in Vietri sul Mare, Salerno, Italy, September 13-16, 2016.


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