Distributed Network of Active Noise Equalize - D-Noise
From 01-05-2017 to 30-10-2018
Description
The project is aimed at developing a novel wireless acoustic sensor network (WASN) for multi-user active noise equalization without the need of using headsets. This system is formed by multiple active noise equalizers (ANEs), which act as a node in a WASN-type set up and cooperate to simultaneously solve their node-specific noise equalization problems. By doing so, the proposed system can simultaneously ensure the auditory comfort of multiple users that are regularly exposed to high noise levels. This is radically different from the current multi-user systems for ANE where each node aims at ensuring the auditory comfort of each passenger without cooperation.
To implement the proposed multi-user ANE, the project will rely on distributed algorithms derived within the EU-FET HANDiCAMS project. These algorithms build on node-specific cooperation rules to allow the cooperation of devices interested in different signal processing tasks and let them attain superior performance as compared to the case where they would operate on their own. In particular, through these node-specific cooperation rules, these algorithms yield a system that overcomes the two main limitations of the existing technologies. First, the spatial diversity of all the microphone signals can be leveraged and hence superior levels of noise attenuation can be attained in the active noise equalization problem of each node. Second, there is no performance degradation due to the acoustical interaction between ANEs of different users, which allows to perform simultaneous ANEs in scenarios with a high density of users.
Due to its competitive advantages, the current levels of noise reduction can be attained with much simpler and cheaper ANEs, which will make the technology more accessible and will enhance the commercialization of ANEs on grand-scale. Thus, the proposed project is expected to constitute a strong seed for the creation of jobs, which will encourage the entrepreneurship in the FET research world.
Team
- Marc Moonen, Coordinator
- Amin Hassani, Team member
- Jorge Plata-Chaves, Team member
Financing
Funding: EU Funding - European Funding
Program/Grant Type: FET Open - FET Open - Novel Ideas for Radically New Technologies
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.