SPS covers signal processing theory and related applications.

Signal processing theory centers around signal processing for communication and array signal processing, biomedical signal processing, computational imaging, distributed sensing, acoustical signal processing with applications in hearing aids, localization of sound sources, receiver algorithms for wireless communication, array signal processing (utilizing multiple antennas) for radar and radio astronomy, EEG, ECG, MRI, ultrafast ultrasound, ...
Machine learning is an important tool we commonly use.

Introduction video for BSc students

From the "open days": exercise in machine learning applied to epilepsy detection, by Prof. Bori Hunyadi.

Introduction video for MSc students

Presentations for MSc students

As an introduction to the research covered by the group, the MSc Introductions consist of a few presentations on central topics of current interest in the Signal Processing and the Circuits and Systems community.

General introduction to the group (Sep 2022)
Leaflet with information for doing a thesis with SPS (Mar 2022)

Example research topics:
Signal processing for distributed autonomous systems
3D ultrasound using a single transducer
Radio astronomy
Computing with waves and slides on this