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相关概念视频

Aliasing01:18

Aliasing

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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...
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When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x axis represents the ratio of the mass of the charged fragment to the elementary charge it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal...
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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
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相关实验视频

Updated: Jun 26, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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频谱特征提取方法结合了艾伦方差,VMD和PSD.

Xu Liu1, Jian Wang2, Fei Liu3

  • 1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China. liuxucrystal@163.com.

Scientific reports
|May 14, 2024
PubMed
概括

这项研究引入了一种结合艾伦变量,变量模式分解 (VMD) 和功率光谱密度 (PSD) 的新方法,以准确地提取地震振动频率用于结构分析.

关键词:
艾伦方差是指艾伦方差.微地震事件是一个微地震事件.功率光谱密度 (PSD) 是指功率的光谱密度.频谱特征提取 频谱特征提取变量模态分解 (VMD) 是指变量模态分解.

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科学领域:

  • 地质物理学 地质物理学
  • 结构工程 结构工程
  • 信号处理 信号处理

背景情况:

  • 准确的地震事件识别和结构响应计算取决于频谱特征提取.
  • 目前使用变量模式分解 (VMD) 的方法缺乏有效的模式组件识别的明确标准,导致不准确.
  • 现有的技术在精确的频谱特征提取中扎,以进行地震分析.

研究的目的:

  • 开发一种用于地震分析的新且准确的频谱特征提取方法.
  • 改进地震数据中有效的模式组件的识别.
  • 加强对地震负荷的结构反应的评估,特别是对遗产结构的评估.

主要方法:

  • 利用变化模式分解 (VMD) 来过噪声,并增强三轴加速度计数据中的有效信号.
  • 使用功率光谱密度 (PSD) 来从三轴加速度计观测中提取地震频率.
  • 应用了艾伦方法来识别最可靠的加速度计数据来确定地震刺激振动频率.

主要成果:

  • 通过使用VMD.成功过噪音并提取相关的地震信号.
  • 从三轴加速度计数据中识别出不同的地震频率组 (26.95 Hz,12.89 Hz,12.5 Hz).
  • 通过分析北京的MW 2.6微地震事件,准确提取频谱特征,验证了该方法的有效性.

结论:

  • 拟议的联合方法 (艾伦变异,VMD,PSD) 提供了一种可靠的方法,用于在地震分析中提取频谱特征.
  • 精确地提取地震振动频率对于评估像长城这样的遗产遗址的结构反应至关重要.
  • 这种方法对保护和保护文化遗产免受地震危害有重大影响.