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相关概念视频

Aliasing01:18

Aliasing

117
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...
117
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

167
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...
167
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

2.9K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
2.9K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

281
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
281
IR Spectrometers01:25

IR Spectrometers

1.1K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.1K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.0K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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相关实验视频

Updated: May 30, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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基于强度改变的光谱分布的光谱重建方法.

Yongqi Wu, Jie Gao, Mu Li

    Optics express
    |January 29, 2025
    PubMed
    概括

    本研究引入了一种新的光谱重建方法,将复杂的吸收光谱简化为线性特征. 这种技术提高了物质分析的测量精度和抗干扰能力.

    科学领域:

    • 分析化学 分析化学
    • 频谱学是一种光谱学.
    • 化学传感器 化学传感器

    背景情况:

    • 准确的吸收频谱分析对于确定物质成分和度至关重要.
    • 复杂的光谱数据通常在分析中存在挑战,原因是干扰和非线性特征.

    研究的目的:

    • 开发一种光谱重建方法,将复杂的光谱转化为更简单的线性特征.
    • 提高光谱数据分析的准确性和抗干扰能力.

    主要方法:

    • 根据吸收强度重建原始光谱成新的光谱,具有线性特征.
    • 从光谱数据计算转换矩阵和映射关系.
    • 配备新的,简化的光谱,以消除干扰和偏移的功能.

    主要成果:

    • 成功地将复杂的光谱转化为线性特征光谱.
    • 通过功能性装配证明了干扰和偏移的消除.
    • 验证了该方法在提高测量准确性和抗干扰方面的有效性.

    结论:

    • 拟议的光谱重建方法为光谱数据分析提供了显著的改进.
    • 这种方法提高了光谱学中定量测量的可靠性.

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  • 该方法对诸如使用紫外线吸收光谱测量二氧化硫 (SO2) 等应用具有前景.