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- W2009480377 abstract "Real-Time Near-field Acoustic Holography is used to recover non stationary acoustic sound sources using a planar microphone array. In the direct way, describing propagation requires the convolution of the spatial spectrum of the source under study with a known impulse response. When the convolution operator is replaced with a matrix product, the propagation operator is re-written in a Toeplitz matrix form. Solving the inverse problem is based on a Singular value decomposition of this propagator and Tikhonov regularization is used to stabilize the solution. The purpose here is to study the regularization process. The formulation of this problem in the Tikhonov sense estimates the solution from the knowledge of the propagation model, the measurements and the regularization parameter. This parameter is calculated by making a compromise between the fidelity to the real measured data and the fidelity to available a priori information. A new regularization parameter is introduced based on a Bayesian approach to maximize the information taken into account. Comparisons of the results are proposed, using the L-Curve and the generalized cross validation. The superiority of the Bayesian parameter is observed for the reconstruction of a non stationary experimental source using real-time near-field acoustic holography." @default.
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- W2009480377 date "2014-10-01" @default.
- W2009480377 modified "2023-09-30" @default.
- W2009480377 title "Bayesian regularization applied to real-time near-field acoustic holography" @default.
- W2009480377 doi "https://doi.org/10.1121/1.4899857" @default.
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