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

Paper accepted at WSA 2014

C. Lameiro, I. Santamaría, and W. Utschick, "Spatial Shaping and Precoding Design for Underlay MIMO Interference Channels," to be presented at the 18th ITG Workshop on Smart Antennas (WSA), Erlangen, Germany, March 2014

CFP PHYSCOMNET 2014

I. Santamaria will organize, jointly with E. Riegler (from TU Wien), the 3rd Workshop on Physics-Inspired Paradigms in Wireless Communications and Networks, (PHYSCOMNET 2014), May 16, 2014, Hammamet, Tunisia.

Book chapter contribution in "Chaotic Signals In Digital Communications", CRC Press, 2013

D. Luengo, I. Santamaría, "Asymptotically optimal estimators for chaotic digital communications," Chapter 11 in Chaotic Signals In Digital Communications, Marcio Eisencraft, Romix Attus and Ricardo Suyama (Editors), CRC Press, 2013

Paper accepted in Signal Processing

J. Manco-Vásquez, M. Lázaro-Gredilla, D. Ramírez, J. Vía, I. Santamaría, "A Bayesian Approach for Adaptive Multiantenna Sensing in Cognitive Radio Networks," to be published in Signal Processing, 2014

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