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arXiv 0810.1883physics.class-ph
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实时近场声全息:在时间-波数域实现正、逆脉冲响应

Real-Time Nearfield Acoustic Holography: Implementation of the Direct and Inverse Impulse Responses in the Time-Wavenumber Domain

Jean-Hugh Thomas, Vincent Grulier, Sébastien Paillasseur, Jean-Claude Pascal

摘要:

研究的目的是证明,一些方法是更相关的实现实时近场声全息比别人。首先,通过关注前向传播问题,比较不同的方法来构建要使用的脉冲响应。其中之一,特别是计算的逆傅立叶变换应用于理论传递函数的传播频率波数域。其他的是通过直接采样的时间波数域中的分析脉冲响应或通过附加的低通滤波。为了估计每个脉冲响应的性能,一个模拟测试,涉及几个单极子激发的非平稳信号,并提出了一些功能,以评估的时间信号的准确性,从重建处理的前向平面上。然后,用于解决逆问题的几个逆脉冲响应,其中包括反向传播的麦克风阵列获得的声学信号,直接从传递函数或通过使用维纳逆滤波从直接的问题获得的直接脉冲响应建立。另一个模拟测试进行比较的信号重建的源平面上。与传播研究相同的指标用于突出用于解决全息逆问题的测试方法之间的差异。

英文摘要:

The aim of the study is to demonstrate that some methods are more relevant for implementing the Real-Time Nearfield Acoustic Holography than others. First by focusing on the forward propagation problem, different approaches are compared to build the impulse response to be used. One of them in particular is computed by an inverse Fourier transform applied to the theoretical transfer function for propagation in the frequency-wavenumber domain. Others are obtained by directly sampling an analytical impulse response in the time-wavenumber domain or by additional low-pass filtering. To estimate the performance of each impulse response, a simulation test involving several monopoles excited by non stationary signals is presented and some features are proposed to assess the accuracy of the temporal signals resulting from reconstruction processing on a forward plane. Then several inverse impulse responses used to solve the inverse problem, which consists in back propagating the acoustic signals acquired by the microphone array, are built directly from a transfer function or by using Wiener inverse filtering from the direct impulse responses obtained for the direct problem. Another simulation test is performed to compare the signals reconstructed on the source plane. The same indicators as for the propagation study are used to highlight the differences between the methods tested for solving the Holography inverse problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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