Open Access
Technical & Applied Article
Issue
Acta Acust.
Volume 5, 2021
Article Number 18
Number of page(s) 10
Section Noise Control
DOI https://doi.org/10.1051/aacus/2021011
Published online 14 April 2021
  1. M. Vorländer: Auralization: Fundamentals of Acoustics, Modelling, Simulation, Algorithms and Acoustic Virtual Reality, 2nd ed. Springer Nature, 2020. [Google Scholar]
  2. B. Masiero, W.D. Fonseca, M. Müller-Trapet, P. Dietrich, Auralization of pass-by beamforming measurements, in EAA EUROREGIO, 15–18 September 2010, Ljubljana, Slovenia. 2010. [Google Scholar]
  3. M. Nilsson, J. Forssén, P. Lundén, A. Peplow, B. Hellström: Listen Auralization of Urban Soundscapes. Stockholm University, Chalmers University of Technology, Sonic Studio, KTH Royal Institute of Technology, University College of Arts, Crafts and Design, 2011. [Google Scholar]
  4. R. Pieren, T. Bütler, K. Heutschi: Auralization of accelerating passenger cars using spectral modeling synthesis. Applied Sciences 6, 1 (2016) 5. [Google Scholar]
  5. L. Jiang, M. Masullo, L. Maffei, F. Meng, M. Vorländer: A demonstrator tool of web-based virtual reality for participatory evaluation of urban sound environment. Landscape and Urban Planning 170 (2018) 276–282. [Google Scholar]
  6. P.H.T. Zannin, F.B. Diniz, W.A. Barbosa: Environmental noise pollution in the city of Curitiba, Brazil. Applied Acoustics 63, 4 (2002) 351–358. [Google Scholar]
  7. P.H. Zannin, A. Calixto, F.B. Diniz, J.A. Ferreira: A survey of urban noise annoyance in a large Brazilian city: The importance of a subjective analysis in conjunction with an objective analysis. Environmental Impact Assessment Review 23, 2 (2003) 245–255. [Google Scholar]
  8. B. Jakovljevic, K. Paunovic, G. Belojevic: Road-traffic noise and factors influencing noise annoyance in an urban population. Environment International 35, 3 (2009) 552–556. [Google Scholar]
  9. S. Agarwal, B.L. Swami: Road traffic noise, annoyance and community health survey – a case study for an Indian city. Noise and Health 13, 53 (2011) 272–276. https://doi.org/10.4103/1463-1741.82959. [Google Scholar]
  10. K. Heutschi, E. Bühlmann, J. Oertli: Options for reducing noise from roads and railway lines. Transportation Research Part A: Policy and Practice 94 (2016) 308–322. [Google Scholar]
  11. U. Sandberg: Tyre/road Noise: Myths and Realities. Statens väg-och transportforskningsinstitut, 2001. [Google Scholar]
  12. D. O’Boy, A. Dowling: Tyre/road interaction noise – numerical noise prediction of a patterned tyre on a rough road surface. Journal of Sound and Vibration 323, 1–2 (2009) 270–291. [Google Scholar]
  13. P. Marmaroli, J.-M. Odobez, X. Falourd, H. Lissek: A bimodal sound source model for vehicle tracking in traffic monitoring, in 2011 19th European Signal Processing Conference, IEEE. 2011, pp. 1327–1331. [Google Scholar]
  14. P. Marmaroli, M. Carmona, J.-M. Odobez, X. Falourd, H. Lissek: Observation of vehicle axles through pass-by noise: A strategy of microphone array design. IEEE Transactions on Intelligent Transportation Systems 14, 4 (2013) 1654–1664. [Google Scholar]
  15. V. Cevher, R. Chellappa, J.H. McClellan: Vehicle speed estimation using acoustic wave patterns. IEEE Transactions on Signal Processing 57, 1 (2008) 30–47. [Google Scholar]
  16. R. López-Valcarce, C. Mosquera, F. Pérez-González: Estimation of road vehicle speed using two omnidirectional microphones: A maximum likelihood approach. EURASIP Journal on Advances in Signal Processing 2004, 8 (2004) 929146. [Google Scholar]
  17. P. Borkar, L.G. Malik: Review on vehicular speed, density estimation and classification using acoustic signal. International Journal for Traffic & Transport Engineering 3, 3 (2013) 331–343. [Google Scholar]
  18. F. Peréz-González, R. López-Valcarce, C. Mosquera: Road vehicle speed estimation from a two-microphone array, in 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 2, IEEE. 2002, p. II–1321. [Google Scholar]
  19. G.D. Rocha, F.R. Petraglia, J.C.B. Torres, M.R. Petraglia: Direction of arrival estimation of acoustic vehicular sources, in Proceedings of the 23rd International Congress on Acoustics, 9–13 September, Aachen, Germany. 2019. [Google Scholar]
  20. C. Knapp, G. Carter: The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech, and Signal Processing 24, 4 (1976) 320–327. [Google Scholar]
  21. D. Hertz, M. Azaria: Time delay estimation between two phase shifted signals via generalized cross-correlation methods. Signal Processing 8, 2 (1985) 235–257. [Google Scholar]
  22. G. Doblinger: Localization and tracking of acoustical sources, in Topics in Acoustic Echo and Noise Control, Springer. 2006, pp. 91–122. [Google Scholar]
  23. S. Vorobyov: Principles of minimum variance robust adaptive beamforming design. Signal Processing 93, 1 (2013) 3264–3277. [Google Scholar]
  24. J. Capon: High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE 57, 8 (1969) 1408–1418. [Google Scholar]
  25. F. Reed, P. Feintuch, N. Bershad: Time delay estimation using the lms adaptive filter–static behavior. IEEE Transactions on Acoustics, Speech, and Signal Processing 29, 3 (1981) 561–571. [Google Scholar]
  26. E. Ferrara: Fast implementations of lms adaptive filters. IEEE Transactions on Acoustics, Speech, and Signal Processing 28, 4 (1980) 474–475. [Google Scholar]
  27. R.M. Haralick, L.G. Shapiro: Computer and Robot Vision, Vol. 1. Addison-Wesley Reading, 1992. [Google Scholar]
  28. R.M. Haralick, S.R. Sternberg, X. Zhuang: Image analysis using mathematical morphology, in IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 4, IEEE. 1987, pp. 532–550. [Google Scholar]
  29. J.J. Moré, D.C. Sorensen: Computing a trust region step. SIAM Journal on Scientific and Statistical Computing 4, 3 (1983) 553–572. [Google Scholar]
  30. M.A. Branch, T.F. Coleman, Y. Li: A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems. SIAM Journal on Scientific Computing 21, 1 (1999) 1–23. [Google Scholar]
  31. R.H. Byrd, R.B. Schnabel, G.A. Shultz: Approximate solution of the trust region problem by minimization over two-dimensional subspaces. Mathematical Programming 40, 1–3 (1988) 247–263. [Google Scholar]
  32. T.F. Coleman, Y. Li: An interior trust region approach for nonlinear minimization subject to bounds. SIAM Journal on Optimization 6, 2 (1996) 418–445. [Google Scholar]
  33. P.W. Holland, R.E. Welsch: Robust regression using iteratively reweighted least-squares. Communications in Statistics-Theory and Methods 6, 9 (1977) 813–827. [Google Scholar]
  34. J.O. Street, R.J. Carroll, D. Ruppert: A note on computing robust regression estimates via iteratively reweighted least squares. The American Statistician 42, 2 (1988) 152–154. [Google Scholar]

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