Projects
SRP-Onderzoekszwaartepunt: Learning-based Signal and Data Processing Systems (LSDS) Vrije Universiteit Brussel
Health monitoring by tensor-based signal processing KU Leuven
As people's health cannot be overrated and 'prevention is better than a cure', monitoring one's health is a key process. For increased comfort, such monitoring should preferably be using contactless technologies that preserve the privacy. Radar systems have proven useful in this context but are currently being used mainly in controlled environments. On the other hand, in sub-optimal conditions, e.g., in the presence of additional people or ...
PhD position in audio signal processing KU Leuven
The spatial information contained in recorded microphone signals has a fundamental role in the characterization of acoustic environments. Furthermore, it can be exploited in digital audio processing frameworks for enhancing a desired source signal, benefiting applications such as hands-free telephony, hearing devices, human-machine interfaces, and acoustic monitoring systems. Despite its acknowledged relevance, accurately estimating and ...
Non-invasive real-time monitoring of animal bio-responses using signal processing techniques KU Leuven
Precision Livestock Farming (PLF) is the use of modern technology in sensors, sensing systems (e.g. image, sound, etc.) and real-time modelling to realize the continuous automatic monitoring and management of livestock farming. This project aims to monitor health, behavior, welfare and productivity of animals in real-time. The objective of this project is to investigate if there is a possibility of monitoring vital, physiological and ...
Advanced array signal processing for industrial in-air sonar applications. University of Antwerp
Passive Radar Based on Wi-Fi Signals for Crowd Monitoring: From Multi-Target Tracking to Large-Scale Crowd Analysis KU Leuven
This thesis aims at performing crowd monitoring by exploiting signals of opportunity from existing Wi-Fi access points to build a passive radar. Radar processing will be applied on signals that bounced on people (targets) in an environment to obtain a so-called range-Doppler map (RDM) containing the distance and speed information of the targets, as well as an angle spectrum (from MUSIC method) containing the angle-of-arrival of the signals ...
Neuromorphic Sensor Fusion and Continual Learning for Drone Navigation and Radar Sensing KU Leuven
Today, there is an ever increasing demand for embedding advanced intelligence
capabilities in energy- and area-constrained battery-powered devices such as
advanced wearables, on-body health monitoring systems, AR / VR headsets and
small robots such as drones. Therefore, there has been a surge in research effort
focusing on the use of Deep Neural Networks (DNNs) and their acceleration in
specialized hardware. However, ...
Machine Learning Models for Indoor Person Monitoring using Radar Signals (PhD) KU Leuven
This thesis aims to exploit a commercial frequency modulated millimetre wave (FMCW) radar and machine learning algorithms to recognise human indoor activity which is a principal feature in many context like patient monitoring and smart homes. This radar operates in the frequency range of 60 Ghz and 64 Ghz and can get the parameters range, velocity and position of each object in its field of view. By using a set of signal processing algorithms ...
Joint Radar and Communications in Distributed MIMO Systems KU Leuven
The project is based on the observation that radar and communication systems share many similarities in terms of hardware and software, which poses the question: can massive MIMO systems, intended for communications, be reconfigured for the task of localization and imaging? The purpose of this thesis is to investigate topics such as system design aspects and signal processing schemes in the objective of jointly operating high performance ...