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 at IVMSP 2016

The paper "Estimating the mean manifold of a deformable object from noisy observations" co-authored by Z. Yavo, J. M. Francos, I. Santamaria and L.L Scharf, will be presented at the 12th IEEE Image Video and Multidimensional Signal Processing (IVMSP) workshop, in Bordeaux, France, July 11-12, 2016.

2 papers accepted at SSP 2016

2 papers co-authored by GTAS members have been accepted for presentation at the
2016 IEEE Workshop on Statistical Signal Processing (SSP), to be held in Palma de Mallorca, 26th-29th June 2016.

Paper accepted at SPAWC 2016

The paper "Statistical Analysis of Single-Beam Interference Alignment Schemes" co-authored by I. Santamaria and J. Fanjul has been accepted for presentation at the 17th IEEE Workshop on Signal Processing Advances on Wireless Communications (SPAWC), Edimburg, UK, 3-6 July , 2016.

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.


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