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- W2325708856 abstract "Phased-microphone arrays associated with beamforming have become a standard technique to localize aeroacoustic sources. The limitations of beamforming have been overcome thanks to deconvolution technique (DAMAS or CLEAN-SC) or iterative process (L1-GIB). However, the computational cost of these methods can be large or assumptions on the source coherence have to be done. In this paper we present a technique based on inverse methods initially developed for sound eld extrapolation. The aim is to use a beamforming regularization matrix to penalize the non-signal region in the inverse problem. First, this Hybrid Method is applied to laboratory experiments to demonstrate its eectiveness. Then noise data of an aero-engine measured over a half circular, far-eld microphone array are used. The source maps obtained show that the Hybrid Method provides better spatial resolution than beamforming, similar to Clean-SC and results in less iterations of DAMAS." @default.
- W2325708856 created "2016-06-24" @default.
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- W2325708856 date "2013-05-24" @default.
- W2325708856 modified "2023-09-27" @default.
- W2325708856 title "Beamforming matrix regularization and inverse problem for sound source localization : application to aero-engine noise" @default.
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- W2325708856 doi "https://doi.org/10.2514/6.2013-2212" @default.
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