Projects
Distributed Signal Processing Algorithms for Multi-Task Wireless Acoustic Sensor Networks KU Leuven
Recent technological advances in analogue and digital electronics as well as in hardware miniaturization have taken wireless sensing devices to another level by introducing low-power communication protocols, improved digital signal processing capabilities and compact sensors. When these devices perform a certain pre-defined signal processing (SP) task such as the estimation or detection of phenomena of interest, a cooperative scheme through ...
Distributed signal processing algorithms for wireless EEG sensor networks with applications in auditory-based brain-computer interfaces KU Leuven
Electroencephalography (EEG) is a cheap and non-invasive neuromonitoring technique to measure electrical potentials generated by the brain. Recently, the concept of a wireless EEG sensor network (WESN) has been proposed, in which the head is covered with a multitude of EEG nodes with facilities for local signal processing (SP) and wireless communication. Since they are amenable to extreme miniaturization and low-power system design, it is ...
Data-centric distributed signal processing for spatial filtering in wireless sensor networks KU Leuven
Design of distributed signal processing algorithms and scalable hardware platforms for energy-vs-performance adaptive wireless acoustic sensor networks. KU Leuven
Wireless acoustic sensor networks (WASNs) consist of a set of battery-powered nodes, distributed over a wide area and equipped with acoustic sensors (microphones) as well as processing and wireless communication facilities. The nodes cooperate by exchanging pre-processed microphone signals to perform signal processing (SP) tasks, such as for instance a speech enhancement task. State-of-the-art instantiations however suffer from fast battery ...
Distributed signal processing algorithms for auditory attention detection with chronic EEG sensor networks KU Leuven
Signal processing and network design for wireless acoustic sensor networks Ghent University
In order to unlock the large potential of wireless acoustic sensor networks, this project aims at one hand to develop acoustic array processing algorithms accounting for unknown sensor positions, dynamic subset selection, synchronisation, and distributed operation. On the other hand it aims to develop self-organising, low-latency networking solutaions for sensor networks supporting speech and audio applications with high traffic loads.
Distributed digital signal processing algorithms for highdensity wireless EEG sensor networks with application to ASSR based objective hearing thresholds estimation KU Leuven
Electroencephalography (EEG) is used to analyze brain activity and detect brain responses to specific stimuli. It offers a high temporal resolution versus a low spatial resolution. A higher spatial resolution may be obtained by adopting a higher electrodes density together with powerful digital signal processing (DSP) algorithms. However, hundreds of electrodes then have to be wired to an output device that collects and processes all ...
Processing visual sensor data in low-power wide area networks Ghent University
Low-power wide area networks (LPWAN) have witnessed a rapid evolution, with many important actors massively investing research efforts in this area. These networks connect low-power sensing devices which continuously perform measurements and emit small amounts of data. Important recent LPWAN developments include the LoRa, SigFox and IEEE 802.11ah technologies. From a different perspective, as consequence of precipitous advancements and ...
Data Processing To Optimize The Fabrication Of MOFs And Zeolites Sensor Arrays KU Leuven
The selection of materials for sensor arrays will be performed via statistical and information theoretic methods that measure the complementarity of the array response to the target VOCs. A set of experiments will be designed to obtain a comprehensive response of the sensors and sensor arrays to combinations of target and common interfering gases at different mixtures.