PresentationsThis link will direct you to some slide presentations which are used to introduce the group to starting MSc students.
Also have a look at the IEEE Signal Processing Society youtube video channel for more general information on signal processing.
Signal processing theory includes array signal processing, estimation and detection, sampling theory, graph signal processing, convex optimization, distributed processing, machine learning and tensor analysis. We also cover electromagnetics theory. Regarding high-level system design, we have a specific focus on spiking neural network platforms.
Application areas include audio and acoustics, wireless communication, radio astronomy systems, distributed sensing from space, biomedical signal and image processing (MRI, ultrasound, ECG), image and video analysis, and computational platforms for autonomous driving (e.g., radar sensor fusion).
The main goal in our research program is to provide a sound mathematical framework for the analysis and synthesis of problems in the complete trajectory of problem analysis, signal processing model, algorithm design, mapping to a digital hardware architecture or embedded system, and including system engineering.
For autonomous driving, GPS is probably not sufficiently accurate or reliable. The SuperGPS project aims to demonstrate a road-side solution that can achieve cm resolution. Here is a 2020 magazine article about it. The project published a Nature paper in Nov. 2022, which was also covered by IEEE Spectrum.
Radio astronomy is an interesting application area for array signal processing. We developed a new image formation tool called PRIFIRA, inspired by Sparse Bayesian Learning.
This simple piece of plastic makes 3D ultrasound easy: read more
The SPS group participates in four MSc tracks in Electrical Engineering: MSc Telecommunication and Sensing Systems, MSc Signals and Systems, MSc Microelectronics, MSc Computer Engineering. We also take students from MSc Biomedical Engineering.
SPS consists of 9 professors and about 40 researchers.
Justin Dauwels named IEEE SPS Distinguished Lecturer for 2024
The Distinguished Lecturer Program provides means for IEEE chapters to have access to individuals who are well known educators and authors in the fields of signal processing.
New NWO-TTW project for Geethu and Justin
DAILSCOM: Atmospheric Turbulence Informed Machine Learning for Laser Satellite Communications