Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Upsampling01:22

Upsampling

188
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...
188
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

989
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
989
Fast Fourier Transform01:10

Fast Fourier Transform

252
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
252
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

614
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...
614
Downsampling01:20

Downsampling

121
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
121
Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Hierarchical feature based dual contrastive multiview clustering.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Unsupervised feature selection via row-sparse local preserving projection.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

A Unified Framework for Pseudo-Supervised Clustering via Weighted Sample Aggregation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Projection with mixed-size anchor graphs.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

SimMTC: Simple Multi-View Tensor Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Unsupervised fine-tuning of vision-language models by fusing classifier tuning and visual prompt tuning.

Neural networks : the official journal of the International Neural Network Society·2026

相关实验视频

Updated: May 24, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.4K

波快速单步切割:用于光谱聚类优化的有效策略

Jingwei Chen, Shasha Fu, Hui Yang

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    这项研究引入了一种新的光谱聚类方法,避免了诸如高计算成本和精度差等常见问题. 波快速单步图形切割 (HFOC) 提供了卓越的集群性能.

    科学领域:

    • 数据科学数据科学数据科学
    • 机器学习 机器学习
    • 计算机视觉 计算机视觉

    背景情况:

    • 频谱聚类 (SC) 应用广泛,但受高计算复杂性和多步骤过程的影响.
    • 传统的SC的目标函数 (最大化微量比的算术平均值) 可能被更大的目标所主导,影响识别准确性.
    • 现有的方法通常需要规范化或约束来解决局限性.

    研究的目的:

    • 为光谱聚类提出一种新的图形切割标准,克服传统方法的局限性.
    • 开发一种高效的一步解决方案,用于光谱聚类.
    • 在没有规范化或约束的情况下解决最糟糕的集群问题.

    主要方法:

    • 引入了一个新的图形切割标准,最大限度地减少了和平均线的微量比.
    • 采用高效的坐标下降 (CD) 方法进行一步优化.
    • 开发了波快速单步图切割 (HFOC) 算法.

    主要成果:

    • 提出的HFOC方法有效地避免了最糟糕的集群问题.
    • 与最先进的方法相比,HFOC实现了优越的集群性能.
    • 该方法表明相对较少的时间消耗.

    更多相关视频

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.3K
    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
    13:31

    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

    Published on: December 22, 2015

    14.9K

    相关实验视频

    Last Updated: May 24, 2025

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
    07:11

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    2.4K
    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.3K
    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
    13:31

    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

    Published on: December 22, 2015

    14.9K

    结论:

    • 新的图形切割标准和单步解决方案有效地解决了光谱聚类的关键挑战.
    • HFOC提供了一个统一的框架,以提高集群精度和效率.
    • 该方法比现有的光谱聚类技术具有显著的优势.