Finite Rate of Innovation Theory Applied to Terahertz Signal Processing
Finite Rate of Innovation Theory Applied to Terahertz Signal Processing
复制标题
有限创新率理论应用于太赫兹信号处理
DOI：
10.1109/irmmw-thz50927.2022.9895923
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Barker X
中科院分区：
文献类型：
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作者：
Barker X
基于有限创新率的方法已被证明在其他频率和其他成像模式下比相关标准方法表现得更好。我们将这一理论应用于太赫兹成像，概述了一些必要的步骤，使该方法最适合太赫兹信号。为了证明我们的方法的有效性，我们将其应用于模拟的太赫兹信号，将用于创建模拟信号的幅度和时间位置与通过我们的方法从模拟信号中提取的幅度和时间位置进行比较。模拟反射的振幅和时间位置之间的密切一致说明了我们的方法产生的结果的令人印象深刻的准确性。
Methods based on finite rate of innovation have been demonstrated to perform better than the relevant standard methods at other frequencies and for other imaging modalities. We apply this theory to terahertz imaging, outlining some of the necessary steps for specializing the method to best suit terahertz signals. To demonstrate the effectiveness of our method we apply it to simulated terahertz signals, comparing the amplitudes and time locations used to create the simulated signal with those extracted through our method from the simulated signal. The close agreement between the amplitudes and time locations of the modelled reflections illustrates the impressive accuracy of results produced from our method.