Research Line A
Telecommunications & Signal Processing
Main Research Areas

Signal processing techniques and technologies are truly ubiquitous in the devices and services that we take for granted in this age of information. As we live in a digital world, digital signal processing is everywhere. It is fundamental in such disparate areas as consumer products, telecommunications, medical applications, environments monitoring and security, to name just a few.

Signal processing is the enabling technology for the generation, transformation, and interpretation of information paving the way to smart environments and leveraging interconnected worlds.

Signal processing is a most important engineering activity for integrating the other contributions in the design of complex systems that interact with humans and the environment. It can be seen as a fundamental tool to deal with the signals involved and also as an inspiration for new design methodologies. As such, signal processing is a core technology for dealing and addressing critical economic and societal challenges that include healthcare, energy systems, sustainability, transportation, entertainment, education, communication, collaboration, defense, and security.

From a scientific point of view, Signal Processing can be considered as Mathematical Engineering is the sense that its main tools are mathematical, but looked from an engineering point of view. In fact almost all the big chapters of Mathematics are present in Signal processing.
Signal Processing gives the required tools to interact with and understand the behaviour of most systems of our daily life and environment. It has computational (deterministic or stochastic), heuristic, and also linguistic approaches and algorithms for generating, enhancing, transmitting, detecting, recognizing and learning from analog or digital signals resulting from the interaction with the systems. These operations may be performed in hardware or software. Signal generation can be executed by remote sensing, acquisition, extraction, synthesis, rendering, reproduction and display. Signal transformation and enhancement may rely on filtering, recovery, translation and decomposition. The transmission or transfer of information includes coding, compression, encrypting and authentication. Learning can involve analysis, estimation, detection, recognition and interpretation.

The Signal Processing & Telecommunications Group aims to perform high quality research and publish its results in high ranked periodicals and conferences, in the areas covered by the work of its researchers.

Most of the current work was theoretical but there were some projects going on (both full-scientific and in collaboration with external entities) and the efforts to begin new projects is increasing in the recent past.

The Group is also very dedicated to do co-operation with external entities either by TEMPUS programs, or by bilateral initiatives of joint laboratories in foreign high education institutions.

General areas of work were:

  • Biomedical Signal Processing: EEG, EMG, ECG, and fMRI;
  • Fractional Signal Processing: modeling and applications;
  • Digital Signal Processing: ARMA models and EMD.
  • MAC level concerns: Multipacket reception techniques, performance analysis of access systems.
  • Performance analysis of cognitive radio systems and ad-hoc networks.
  • Development, performance evaluation, and optimization of the transmitter and receiver for broadband wireless communication. Routing and traffic engineering in networks. Software defined networks.
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