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相关概念视频

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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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
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相关实验视频

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Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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对称梯度-指数媒体重建的对称梯度-指数.

J E Gómez-Correa, A L Padilla-Ortiz, J P Trevino

    Optics express
    |September 15, 2023
    PubMed
    概括

    本研究提出了一种新,简单,准确的数值方法,用于从光线路径中重建梯度指数 (GRIN) 介质. 该技术利用系统对称性和不变量来实现可靠的3D GRIN分布导出.

    科学领域:

    • 光学是什么?光学是什么?光学是什么?
    • 光子学 是一个光子学.
    • 应用物理 应用物理

    背景情况:

    • 在梯度指数 (GRIN) 介质中的光线追踪已经很成熟.
    • 从射线路径确定GRIN的反向问题具有挑战性.
    • 现有的GRIN重建方法的复杂性各不相同.

    研究的目的:

    • 引入一种新的,简化的方法来推导对称的GRIN分布.
    • 根据物理原理提供精确的数值解决方案.
    • 为了证明该方法在从射线路径中重建GRIN的稳定性.

    主要方法:

    • 使用从系统对称性和费马原理中获得的不变量.
    • 开发一个精确的数值方法,避免物理系统的近似.
    • 应用该方法从二维和三维光线数据中重建已知的GRIN介质.

    主要成果:

    • 介绍了一种用于GRIN重建的新,简单的方法.
    • 这种方法是准确的,并且在数值上是稳定的.
    • 取得了各种对称GRIN介质的成功重建.

    结论:

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    • 提出的方法提供了迄今为止推导对称GRIN分布的最简单的实现.
    • 基于不变量的方法为GRIN重建提供了准确而强大的解决方案.
    • 这种技术对于二维和三维光线传播场景都有效.