| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Leclere, Quentin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2023On the estimation of the shear modulus of a honeycomb sandwich panel from X-ray mapping of its core
- 2022Wave correlation approaches to analyse 3D velocity fields: application to a honeycomb core composite panel
- 2022Acoustic Imaging using Distributed Spherical Microphone Arrays
- 2021Development of the Corrected Force Analysis Technique for laminated composite panelscitations
- 2020On the structural dynamics of laminated composite plates and sandwich structures; a new perspective on damping identificationcitations
- 2019Sparse acoustical holography from iterated Bayesian focusingcitations
- 2019INFLUENCE OF GRAIN MORPHOLOGY AND SIZE ON ULTRASONIC ATTENUATION IN POLYCRISTALLINE ISOTROPIC MATERIALS
- 2018Assessment of the apparent bending stiffness and damping of multilayer plates; modelling and experimentcitations
- 2018Spatial Patterning of the Viscoelastic Core Layer of a Hybrid Sandwich Composite Material to Trigger Its Vibro-Acoustic Performancescitations
- 2018Modeling, designing and measuring hybrid sandwich composite panels with optimized damping properties
- 2017Versatile hybrid sandwich composite combining large stiffness and high damping: spatial patterning of the viscoelastic core layercitations
- 2015Vibrational behavior of multi-layer plates in broad-band frequency range: comparisons between experimental and theoretical estimations
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document
Acoustic Imaging using Distributed Spherical Microphone Arrays
Abstract
Acoustic imaging is usually performed using a single array of omnidirectionalmicrophones distributed on a planar, cylindrical or spherical geometry. In thecase of spherical microphone arrays (SMA)s, the analysis can be done in thespherical harmonics (SH) domain, as developed in the field of Ambisonics.However, practical implementations of the latter approach are often constitutedof a smaller number of microphones compared to planar arrays, which implieslimited spatial resolution and bandwidth. This work deals with the use of 5 19- microphone rigid SMAs for the capture of their respective local sound field, anddiscusses on how to process them globally for acoustic imaging purposes. Fourstrategies are presented in a comparative study, by considering the distributedSMAs as: {list}a) an array of 519 omnidirectional microphones in freespace, not taking into account scattering from the rigid spheres,b) an array of 519 microphones mounted on diffractingspheres, scattering from the rigid spheres is taken into account,c) 5 distributed SMAs, each of them retrieving 16 SH coefficientsup to degree 3, and processed in the SH domain on all coefficients at once,d) 5 Distributed SMAs combined by translation of the local SHcoefficients on a global origin, capable of retrieving SH coefficients up todegree 7, and processed in the SH domain. {list}These processing strategies are evaluated in simulations and validated in theframe of laboratory measurements based of the use of 5 SMAs distributed on aplane, at the vertices of a pentagone. Acoustic imaging results are comparedwith a conventional planar microphone array constituted of 81 microphones.