
Computational modelling for soundscape analysis inspired by human auditory perception and its application in monitoring networks
(2015)
- Author
- Damiano Oldoni (UGent)
- Promoter
- Dick Botteldooren (UGent) and Bernard De Baets (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5808334
- MLA
- Oldoni, Damiano. Computational Modelling for Soundscape Analysis Inspired by Human Auditory Perception and Its Application in Monitoring Networks. Ghent University. Faculty of Engineering and Architecture, 2015.
- APA
- Oldoni, D. (2015). Computational modelling for soundscape analysis inspired by human auditory perception and its application in monitoring networks. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
- Chicago author-date
- Oldoni, Damiano. 2015. “Computational Modelling for Soundscape Analysis Inspired by Human Auditory Perception and Its Application in Monitoring Networks.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Chicago author-date (all authors)
- Oldoni, Damiano. 2015. “Computational Modelling for Soundscape Analysis Inspired by Human Auditory Perception and Its Application in Monitoring Networks.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Vancouver
- 1.Oldoni D. Computational modelling for soundscape analysis inspired by human auditory perception and its application in monitoring networks. [Ghent, Belgium]: Ghent University. Faculty of Engineering and Architecture; 2015.
- IEEE
- [1]D. Oldoni, “Computational modelling for soundscape analysis inspired by human auditory perception and its application in monitoring networks,” Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium, 2015.
@phdthesis{5808334, author = {{Oldoni, Damiano}}, isbn = {{9789085787587}}, language = {{eng}}, pages = {{XXVI, 132}}, publisher = {{Ghent University. Faculty of Engineering and Architecture}}, school = {{Ghent University}}, title = {{Computational modelling for soundscape analysis inspired by human auditory perception and its application in monitoring networks}}, year = {{2015}}, }