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Pass-Band Optimal Reconstruction on the Body-Centered Cubic Lattice

机译:体心立方晶格上的带通最优重建

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In this paper, a pass-band optimal reconstruction technique is adapted to the Body-Centered Cubic (BCC) lattice. In order to perform the frequency-domain preprocessing, we derive a practical Discrete Fourier Transform (DFT) for BCC-sampled data. In the discrete frequency domain our DFT provides a natural isotropic periodicity on a Face-Centered Cubic (FCC) pattern, unlike the previous method, which leads to periodicity on a sheared Cartesian pattern. One of the most important advantages of our approach is that no specialized FFT implementation is required, as basically the well-known traditional FFT libraries can be directly used for calculating the discrete frequency coefficients. Furthermore, the proposed DFT can be easily adapted to FCC-sampled data as well. We show that a prefiltered pass-band optimal reconstruction based on our DFT can capture the high-frequency details much better than the previously proposed generalized interpolation method.
机译:在本文中,通带最佳重构技术适用于体心立方(BCC)晶格。为了执行频域预处理,我们导出了针对BCC采样数据的实用离散傅立叶变换(DFT)。在离散频域中,我们的DFT在面心立方(FCC)模式上提供了自然的各向同性周期性,这与以前的方法不同,后者导致剪切笛卡尔模式上具有周期性。我们的方法最重要的优点之一是,不需要专门的FFT实现,因为基本上可以将众所周知的传统FFT库直接用于计算离散频率系数。此外,提出的DFT也可以轻松地适应FCC采样数据。我们表明,基于DFT的预滤波通带最佳重构比以前提出的广义插值方法能够更好地捕获高频细节。

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