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Beamforming Regularization, Scaling Matrices and Inverse Problems for Sound Field Extrapolation and Characterization: Part II - Experiments
Sound field extrapolation (SFE) is aimed at the prediction of a sound field in an extrapolation region using microphone array. For sound environment reproduction purposes, sound field characterization (SFC) aims at a more generic or parametric description of a measured or extrapolated sound field using different physical or subjective metrics. In this paper, experiments with a recently-developed SFE method (Part I – Theory) are reported. The method is based on an inverse problem formulation combined with a recently proposed regularization approach: a beamforming matrix in the discrete smoothing norm of the cost function. In a second time, the results obtained from the SFE method are applied to SFC as presented in Part I. The SFC classification method is verified in two environments that recreate ideal or complex sound fields. At the light of the presented results and discussion, it is argued that SFE and SFC proposed methods are effective.
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