实验波形数据反演中硬件计算走时对定位精度的影响
The effect of hardware-computed travel-time on localization accuracy in the inversion of experimental (acoustic) waveform data
摘要：
这项研究的目的是推进硬件级计算的走时层析成像应用中的波长是接近的直径的信息，必须恢复。例如，在（1）生物医学物理学、（2）天体物理学和（3）土木工程的成像应用中可以是这种情况。我们的目标是阐明预处理数字波形信号对反演结果的影响，并找到计算解决方案，保证鲁棒反演时，有不完整和/或噪声测量。我们描述了一个硬件级实现集成和阈值旅行时间计算（ITT和TTT）。我们比较了ITT和TTT的方法在反演分析与实验声学走时数据记录使用环形几何的传输和测量点。所获得的结果表明，ITT是必不可少的保持不完美的信号数字化和稀疏的反演的鲁棒性。为了确保结果的相关性，测试设置的质量标准与应用程序（1）-（3）的质量标准相关。
英文摘要：
This study aims to advance hardware-level computations for travel-time tomography applications in which the wavelength is close to the diameter of the information that has to be recovered. Such can be the case, for example, in the imaging applications of (1) biomedical physics, (2) astro-geophysics and (3) civil engineering. Our aim is to shed light on the effect of that preprocessing the digital waveform signal has on the inversion results and to find computational solutions that guarantee robust inversion when there are incomplete and/or noisy measurements. We describe a hardware-level implementation for integrated and thresholded travel-time computation (ITT and TTT). We compare the ITT and TTT approaches in inversion analysis with experimental acoustic travel-time data recorded using a ring geometry for the transmission and measurement points. The results obtained suggest that ITT is essential for maintaining the robustness of the inversion with imperfect signal digitization and sparsity. In order to ensure the relevance of the results, the specifications of the test setup were related to those of applications (1)-(3).
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