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相关概念视频

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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对于ISAR成像评估的非参考卷积加权法.

Xulang Zhou, Yongdiao Wen, Wenhui Hu

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    一种新方法使用卷积加权图像来评估反向合成光圈雷达 (ISAR) 图像质量. 这种方法精确地对单个图像进行评分,并评估雷达图像之间的差异,显示出高灵敏度和稳定性.

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    科学领域:

    • 雷达成像 雷达成像
    • 图像处理 图像处理
    • 信号处理 信号处理

    背景情况:

    • 逆合成孔径雷达 (ISAR) 成像质量对于目标分析至关重要.
    • 传统的评估方法与ISAR强大的分散点分布和对转换的敏感性作斗争.

    研究的目的:

    • 开发ISAR图像质量的非参考评估方法.
    • 提高对结构变化的敏感性和对噪声和几何变化的强度.

    主要方法:

    • 使用卷积加权图像.
    • 应用滑动卷积来计算区域图像.
    • 根据散射强度分配差异化的权,以强调关键结构.

    主要成果:

    • 实现对单个ISAR图像进行精确的质量评分.
    • 提供基于图像之间的百分比相似性评估.
    • 与传统方法相比,对微妙的结构差异表现出更高的敏感性.
    • 对几何变形和环境噪声表现出强度.

    结论:

    • 拟议的卷积加权图像法为ISAR图像质量评估提供了强大而敏感的方法.
    • 它显示了用于多精度聚变加速处理的显著优势.
    • 该方法在雷达成像分析中具有广泛的应用潜力.