EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 10 (2026) Acta Acust., 10 (2026) 25 References
Open Access
Issue
Acta Acust.
Volume 10, 2026
Article Number 25
Number of page(s) 17
Section General Linear Acoustics
DOI https://doi.org/10.1051/aacus/2026017
Published online 09 April 2026
  1. W. Klippel: Modeling and testing of loudspeakers used in sound-field control, in: Advances in Fundamental and Applied Research on Spatial Audio. IntechOpen, February 2022. [Google Scholar]
  2. F. Martinus, D.W. Herrin, J. Han: Identification of an aeroacoustic source using the inverse boundary element method. Noise Control Engineering Journal 58, 1 (2010) 83–92. [Google Scholar]
  3. H. Bi, F. Ma, T.D. Abhayapala, P.N. Samarasinghe: Spherical array based drone noise measurements and modelling for drone noise reduction via propeller phase control, in: 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). New Paltz, NY, USA, October 2021, pp. 286–290. [Google Scholar]
  4. S.F. Wu: On reconstruction of acoustic pressure fields using the Helmholtz equation least squares method. The Journal of the Acoustical Society of America 107, 5 (2000) 2511–2522. [Google Scholar]
  5. D.W. Herrin, J. Liu, F. Martinus, D.J. Kato, S. Cheah: a. Noise Control Engineering Journal 58, 1 (2010) 74–82. [Google Scholar]
  6. M.B. Salin, D.A. Kosteev: Nearfield acoustic holography-based methods for far field prediction. Applied Acoustics 159 (2020) 107099. [Google Scholar]
  7. T. Shi, J. Stuart Bolton, W. Thor: Acoustic far-field prediction based on near-field measurements by using several different holography algorithms. The Journal of the Acoustical Society of America 151, 3 (2022) 2171–2180. [Google Scholar]
  8. C.-X. Bi, Y. Liu, Y.-B. Zhang, L. Xu: Sound field reconstruction using inverse boundary element method and sparse regularization. The Journal of the Acoustical Society of America 145, 5 (2019) 3154–3162. [Google Scholar]
  9. M. Hartenstein, F. Ollivier, M. Meinnel, H. Moingeon, C. Ollivon, A. Sokpoli, M. Pachebat, C. Pinhède, F. Silva, P. Luizard: Far-field directivity estimation with a cube-shaped array of 256 MEMS microphones, in: 53rd International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2024), Nantes, France, August 2024. [Google Scholar]
  10. S.K. Chaitanya, K. Srinivasan: Equivalent source method based near field acoustic holography using multipath orthogonal matching pursuit. Applied Acoustics 187 (2022) 108501. [Google Scholar]
  11. C. Sugiyama, K. Itoyama, K. Nishida, K. Nakadai: Assessment of simultaneous calibration for positions, orientations, and time offsets in multiple microphone arrays systems, in: 2023 IEEE/SICE International Symposium on System Integration (SII). Atlanta, GA, USA, January 2023, pp. 1–6. [Google Scholar]
  12. Z. Havranek, P. Benes, S. Klusacek: Application of mems microphone array for acoustic holography, in: Proceedings of the 10th European Conference on Noise Control, Euronoise 2015. Maastricht, Netherlands, May 2015, pp. 919–924. [Google Scholar]
  13. I. Lopez Arteaga, R. Scholte, H. Nijmeijer: Improved source reconstruction in Fourier-based Near-field Acoustic Holography applied to small apertures. Mechanical Systems and Signal Processing 32 (2012) 359–373. [Google Scholar]
  14. M. Aucejo, N. Totaro, J.-L. Guyader: Identification of source velocities on 3D structures in non-anechoic environments: theoretical background and experimental validation of the inverse patch transfer functions method. Journal of Sound and Vibration 329, 18 (2010) 3691–3708. [CrossRef] [Google Scholar]
  15. M. Szczodrak, A. Kurowski, J. Kotus, A. Czyżewski, B. Kostek: A system for acoustic field measurement employing cartesian robot. Metrology and Measurement Systems 23, 3 (2016) 333–343. [Google Scholar]
  16. S. Forget, N. Totaro, J.L. Guyader, M. Schaeffer: Source fields reconstruction with 3D mapping by means of the virtual acoustic volume concept. Journal of Sound and Vibration 381 (2016) 48–64. [CrossRef] [Google Scholar]
  17. H. Vold, P. Shah, J. Davis, P. Bremner, D. McLaughlin, P. Morris, J. Veltin, R. McKinley: High resolution continuous scan acoustical holography applied to high-speed jet noise, in: 16th AIAA/CEAS Aeroacoustics Conference, Stockholm, Sweden, June 2010. [Google Scholar]
  18. Z.-W. Luo, D. Fernandez Comesana, C.-J. Zheng, C.-X. Bi: A free field recovery technique based on the boundary element method and three-dimensional scanning measurements. The Journal of the Acoustical Society of America 150, 5 (2021) 3929–3948. [Google Scholar]
  19. M. Legg, S. Bradley: A combined microphone and camera calibration technique with application to acoustic imaging. IEEE Transactions on Image Processing 22, 10 (2013) 4028–4039. [Google Scholar]
  20. D. Li, H. Wu, Y. Zha, W. Jiang: A sound source reconstruction approach based on the machine vision and inverse patch transfer functions method. Applied Acoustics 181 (2021) 108180. [Google Scholar]
  21. Y. Bernhardt, D. Solodov, D. Müller, M. Kreutzbruck: Listening for airborne sound of damage: a new mode of diagnostic imaging. Frontiers in Built Environment 6 (2020) 66. [Google Scholar]
  22. J. Walker, I.W. Foged: Robotic methods in acoustics: Analysis and fabrication processes of sound scattering acoustic panels, in: 36th eCAADe Conference. Vol. 1. Lodz, Poland, 2018, pp. 835–840. [Google Scholar]
  23. M. Nolan, S.A. Verburg, J. Brunskog, E. Fernandez-Grande: Experimental characterization of the sound field in a reverberation room. The Journal of the Acoustical Society of America 145, 4 (2019) 2237–2246. [Google Scholar]
  24. M. Kefer, Q. Lu: Acoustic holography – a robot application, in: 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR). Angkor Wat, Cambodia, June 2016, pp. 312–316. [Google Scholar]
  25. N. Totaro, M. Robin, J. Rassez, M.-A. Malinge: Robotic arm, 3D vision and geometric matching for an efficient implementation of inverse Patch Transfer Function method, in: 53rd International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2024), Nantes, France, August 2024. [Google Scholar]
  26. C. Pascal, A. Chapoutot, O. Doaré: A ros-based kinematic calibration tool for serial robots, in: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, October 2023. [Google Scholar]
  27. J.D. Maynard, E.G. Williams, Y. Lee: Nearfield acoustic holography: I. Theory of generalized holography and the development of NAH. The Journal of the Acoustical Society of America 78, 4 (1985) 1395–1413. [Google Scholar]
  28. J. Hald: Basic theory and properties of statistically optimized near-field acoustical holography. The Journal of the Acoustical Society of America 125, 4 (2009) 2105–2120. [Google Scholar]
  29. N.P. Valdivia: Advanced equivalent source methodologies for near-field acoustic holography. Journal of Sound and Vibration 438 (2019) 66–82. [Google Scholar]
  30. T. Semenova, S.F. Wu: On the choice of expansion functions in the Helmholtz equation least-squares method. The Journal of the Acoustical Society of America 117, 2 (2005) 701–710. [Google Scholar]
  31. A. Canclini, M. Varini, F. Antonacci, A. Sarti: Dictionary-based equivalent source method for near-field acoustic holography, in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). New Orleans, LA, USA, March 2017, pp. 166–170. [Google Scholar]
  32. J. Antoni: A Bayesian approach to sound source reconstruction: optimal basis, regularization, and focusing. The Journal of the Acoustical Society of America 131, 4 (2012) 2873–2890. [Google Scholar]
  33. E.G. Williams: Regularization methods for near-field acoustical holography. The Journal of the Acoustical Society of America 110, 4 (2001) 1976–1988. [Google Scholar]
  34. F. Martinus, D.W. Herrin, A.F. Seybert: Selecting measurement locations to minimize reconstruction error using the inverse boundary element method. Journal of Computational Acoustics 15, 4 (2007) 531–555. [Google Scholar]
  35. J. Hald: Fast wideband acoustical holography. The Journal of the Acoustical Society of America 139, 4 (2016) 1508–1517. [Google Scholar]
  36. G. Chardon, L. Daudet, A. Peillot, F. Ollivier, N. Bertin, R. Gribonval: Near-field acoustic holography using sparse regularization and compressive sampling principles. The Journal of the Acoustical Society of America 132, 3 (2012) 1521–1534. [CrossRef] [PubMed] [Google Scholar]
  37. L.L. Thompson: A review of finite-element methods for time-harmonic acoustics. The Journal of the Acoustical Society of America 119, 3 (2006) 1315–1330. [Google Scholar]
  38. M.R. Bai: Application of BEM (boundary element method)-based acoustic holography to radiation analysis of sound sources with arbitrarily shaped geometries. The Journal of the Acoustical Society of America 92, 1 (1992) 533–549. [Google Scholar]
  39. A. Alguacil, M. Bauerheim, M.C. Jacob, S. Moreau: Predicting the propagation of acoustic waves using deep convolutional neural networks. Journal of Sound and Vibration 512 (2021) 116285. [Google Scholar]
  40. M. Olivieri, M. Pezzoli, F. Antonacci, A. Sarti: A physics-informed neural network approach for nearfield acoustic holography. Sensors 21, 23 (2021) 7834. [Google Scholar]
  41. K. Shigemi, S. Koyama, T. Nakamura, H. Saruwatari: Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). Bamberg, Germany, September 2022, 1–5. [Google Scholar]
  42. F. Hecht: New development in FreeFem++. Journal of Numerical Mathematics 20, 3, 4 (2012) 251–265. [Google Scholar]
  43. P. Marchand: Schwarz Methods and Boundary Integral Equations. Theses, Sorbonne Université, January 2020. [Google Scholar]
  44. S.A. Sauter, C. Schwab: Boundary Element Methods. Vol. 39 of Springer Series in Computational Mathematics. Springer, Berlin, Heidelberg, 2011. [Google Scholar]
  45. S. Kirkup: The boundary element method in acoustics: a survey. Applied Sciences 9, 8 (2019) 1642. [CrossRef] [Google Scholar]
  46. N. Valdivia, E. Williams: Implicit methods of solution to integral formulations in boundary element method based nearfield acoustic holography. Acoustical Society of America Journal 116 (2004) 1559–1572. [Google Scholar]
  47. A. Schuhmacher, J. Hald, K.B. Rasmussen, P.C. Hansen: Sound source reconstruction using inverse boundary element calculations. The Journal of the Acoustical Society of America 113, 1 (2003) 114–127. [CrossRef] [PubMed] [Google Scholar]
  48. S.T. Raveendra, N. Vlahopoulos, A. Glaves: An indirect boundary element formulation for multi-valued impedance simulation in structural acoustics. Applied Mathematical Modelling 22, 6 (1998) 379–393. [Google Scholar]
  49. H. Brakhage, P. Werner: Über das dirichletsche außenraumproblem für die helmholtzsche schwingungsgleichung. Archiv der Mathematik 16, 1 (1965) 325–329. [Google Scholar]
  50. P.G. Ciarlet, P.A. Raviart: Interpolation theory over curved elements, with applications to finite element methods. Computer Methods in Applied Mechanics and Engineering 1, 2 (1972) 217–249. [Google Scholar]
  51. S. Marburg: Six boundary elements per wavelength: Is that enough? Journal of Computational Acoustics 10 (2002) 25–51. [Google Scholar]
  52. B.K. Gardner, R.J. Bernhard: A noise source identification technique using an inverse Helmholtz integral equation method. Journal of Vibration, Acoustics, Stress, and Reliability in Design 110, 1 (1988) 84–90. [Google Scholar]
  53. S. Balay, W. Gropp, L.C. McInnes, B.F. Smith: PETSC, the portable, extensible toolkit for scientific computation. Argonne National Laboratory 2, 17 (1998). [Google Scholar]
  54. D. Coleman, I.A. Sucan, S. Chitta, N. Correll: Reducing the barrier to entry of complex robotic software: a moveit! case study. Journal on Software Engineering for Robotics 5, 1 (2014) 3–16. [Google Scholar]
  55. M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, A.Y. Ng: ROS: an open-source robot operating system, in: ICRA Workshop on Open Source Software. Vol. 3. Kobe, Japan, May 2009, p. 5. [Google Scholar]
  56. P.D. Welch: The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Transactions on Audio and Electroacoustics 15, 2 (1967) 70–73. [CrossRef] [Google Scholar]
  57. Z.-W. Luo, D. Fernandez Comesana, C.-J. Zheng, C.-X. Bi: Near-field acoustic holography with three-dimensional scanning measurements. Journal of Sound and Vibration 439 (2019) 43–55. [Google Scholar]
  58. H. Gao, Q. Zhu, S. Liu, P. Xing, G. Li: The formulations based on the indirect boundary element method for the acoustic characterization of an arbitrarily shaped source in a bounded noisy environment. Engineering Analysis with Boundary Elements 138 (2022) 65–82. [Google Scholar]
  59. C. Langrenne, M. Melon, A. Garcia: A boundary element method for near-field acoustical holography in bounded noisy environment. The Journal of the Acoustical Society of America 123, 5_Supplement (2008) 3309. [Google Scholar]
  60. J.C. Nedelec: Curved finite element methods for the solution of singular integral equations on surfaces in R3. Computer Methods in Applied Mechanics and Engineering 8, 1 (1976) 61–80. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.