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相关概念视频

Aliasing01:18

Aliasing

526
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
526
Upsampling01:22

Upsampling

569
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
569
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

666
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
666
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

1.4K
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...
1.4K
Bandpass Sampling01:17

Bandpass Sampling

461
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
461
2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

1.9K
Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
1.9K

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相关实验视频

Updated: Jan 9, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
07:24

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Published on: April 14, 2020

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异光谱结构补偿采样用于高光谱融合计算成像计算成像.

Jinyang Liu, Shutao Li, Heng Yang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |December 3, 2025
    PubMed
    概括

    本研究介绍了用于高光谱融合计算成像的异光谱结构补偿采样 (HSC采样) 和多相混合建模 (M2M). 这些方法通过利用光谱互补性和多相特征分析来改善高光谱图像重建.

    科学领域:

    • 计算成像技术的成像
    • 遥感 遥感 遥感 遥感
    • 图像处理 图像处理

    背景情况:

    • 目前的超光谱融合方法使用高分辨率多光谱图像 (HRMSI) 来获得低分辨率超光谱图像 (LRHSI) 中的空间细节.
    • 这些方法受到HRMSI的低光谱分辨率的限制,阻碍了LRHSI中更细的光谱范围的有效信息传输.

    研究的目的:

    • 通过解决现有融合技术的局限性来提高超光谱计算成像的准确性.
    • 在超光谱成像中引入用于改进时空信息融合的新机制.

    主要方法:

    • 拟议的异谱结构补偿采样 (HSC采样) 机制,以分析LRHSI频段之间的结构互补性,补偿缺失的细节.
    • 开发了一种多相混合建模 (M2M) 方法,从三个相中提取聚变特征,为高维的HSI数据创建多变量混合立方体.
    • 构建了一个融合残留连锁 (MRC) 网络,集成HSC采样和M2M用于高光谱聚变计算成像.

    主要成果:

    • 拟议的MRC网络在跨多个数据集的高光谱聚变性能方面显著优于最先进的方法.
    • 在各种超光谱成像任务中证明了HSC采样机制的有效性.
    • 通过更有效地利用光谱和空间信息,在重建超光谱图像方面获得了更高的准确性.

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    相关实验视频

    Last Updated: Jan 9, 2026

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
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    Published on: April 14, 2020

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    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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    结论:

    • HSC采样机制和M2M方法在超光谱聚变计算成像方面取得了重大进展.
    • 开发的MRC网络为准确的超光谱图像重建提供了强大的解决方案.
    • 这些发现为更复杂的高光谱成像应用铺平了道路,需要高光谱和空间分辨率.