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相关概念视频

Aliasing01:18

Aliasing

162
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...
162
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.1K
IR Spectrometers01:25

IR Spectrometers

1.2K
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...
1.2K
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
1.9K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.1K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

418
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...
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相关实验视频

Updated: Jul 20, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

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在使用光谱内容的被动非视线成像中隔离信号.

Connor Hashemi, Rafael Avelar, James Leger

    IEEE transactions on pattern analysis and machine intelligence
    |August 2, 2023
    PubMed
    概括

    本研究介绍了光谱域技术,以消除非视线 (NLOS) 成像中的杂乱. 这些方法显著提高了重建NLOS场景的准确性,即使有强烈的干扰信号.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算机视觉 计算机视觉
    • 信号处理 信号处理

    背景情况:

    • 被动非视线 (NLOS) 成像受到显著的散射光 (杂乱) 的阻碍.
    • 杂乱阻碍了NLOS成像中隐藏场景的准确重建.
    • 现有的方法很难有效地将所需的信号与强烈的杂乱隔离起来.

    研究的目的:

    • 开发用于被动NLOS成像中的杂乱排斥的新技术.
    • 为了利用分散光的光谱特性进行场景重建.
    • 为了提高NLOS成像在杂乱的环境中的准确性和效率.

    主要方法:

    • 对光谱域的探索,以区分所需的辐射和杂乱.
    • 一种技术,将多光谱辐射分离为均颜色的物体,用于杂乱识别.
    • 一种凸优化方法,利用所需信号的已知光谱含量.

    主要成果:

    • 在现实的杂乱场景中 (杂乱比信号强50倍) 证明有效.
    • 与典型方法相比,实现了23倍更高的重建精度.
    • 超过了领先的杂乱排斥方法的5倍.

    结论:

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    • 光谱域分析为NLOS成像中清除杂乱提供了一种强大的方法.
    • 提出的技术显著提高了NLOS场景重建的准确性和稳定性.
    • 这些方法为具有挑战性的成像条件提供了有效的解决方案.