Sensor Networks - Signal processing and network design for wireless acoustic sensor networks
From 01-01-2008 to 31-12-2011
Description
Microphone arrays have become essential in a broad range of acoustical applications, such as hearing aids and hands-free mobile telephony. Although microphone arrays yield a higher performance than single-microphone systems, their performance is limited by the fact that up to now typically a static configuration has been considered, where the microphones are wired, the position of the microphones in the array is fixed, and all signal processing is performed on a centralised processor. Recent technological advances make it possible to produce small, low-power microphone devices with limited on-board processing and wireless communication capability. An enormous improvement in performance and flexibility is then anticipated with wireless acoustic sensor networks, since they enable to use a large number of microphones, i.e. tens to hundreds, at interesting acoustic positions where it is not feasible to put wired sensors. As the design of these wireless acoustic sensor networks is considerably different than the design of traditional microphone arrays and sensor networks, they require both innovative acousticarray signal processing algorithms and network design solutions, accounting for a large number of microphones at unknown and possibly changing positions, distributed operation, device synchronisation, high network traffic loads and low latency.
In order to unlock the large potential of wireless acoustic sensor networks, this project aims to
1) develop acoustic array processing algorithms accounting for unknown sensor positions, dynamic subset selection, synchronisation, and distributed operation;
2) develop self-organising and low-latency networking solutions for sensor networks supporting speech and audio applications with high traffic loads.
Team
- Simon Doclo, Co-promoter
- Marc Moonen, Promoter
- Alexander Bertrand, Team member
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Research Grant - FWO Research Grant
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.