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相关概念视频

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
720
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
109
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

99
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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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...
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相关实验视频

Updated: Jul 16, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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基于光谱造型统计和LMS的强有力的非均性校正算法.

Tong Liu, Xiubao Sui, Yihong Wang

    Optics express
    |September 15, 2023
    PubMed
    概括

    这项研究引入了一种新的红外图像校正方法,可以有效地消除不均性,同时适应不同的场景. 该算法平衡了强大的校正与场景适应性,改善了整体图像质量.

    科学领域:

    • 红外成像技术是红外成像技术.
    • 图像处理和计算机视觉

    背景情况:

    • 红外探测器输出图像的不均性显著降低了图像质量.
    • 现有的算法难以平衡强大的非均性校正与场景适应性.

    研究的目的:

    • 提出一种基于场景的新算法,用于红外非均性校正.
    • 解决现有方法在平衡校正强度和场景适应性方面的局限性.

    主要方法:

    • 一个基于场景的新算法,结合了单条纹去除,多尺度统计和最小平均平方 (LMS) 方法.
    • 一个粗细的校正过程,利用拉普拉斯金字塔的自适应渐进校正.
    • 改进了1D引导过和高通过,用于不均分离.
    • 优化预期图像估计和使用指导过LMS的时空适应性学习速率.

    主要成果:

    • 拟议的算法通过塑造高频子频段,有效地将非均性与场景内容分开.
    • 幽灵文物被显著地抑制.
    • 广泛的模拟和真实实验验证了算法的适应性和有效性,以纠正强烈的不均性.

    结论:

    • 与现有方法相比,新型算法在红外非均度纠正方面表现出优异的性能.

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  • 它提供了一个强大的解决方案,用于在各种场景中改善红外图像质量.