Tu Delft Signal Processing Systems

The Signal Processing Systems Section (formerly called Circuits and Systems) covers the theory and applications of signal processing, including high-level system design. 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, and in addition to 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, multi-agent systems, swarms, 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.