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相关概念视频

Properties of Fourier Transform II01:24

Properties of Fourier Transform II

697
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
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Convergence of Fourier Series01:21

Convergence of Fourier Series

357
The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
357
Dynamics of Circular Motion01:30

Dynamics of Circular Motion

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An object undergoing circular motion, like a race car, is accelerating because it is changing the direction of its velocity. This centrally directed acceleration is called centripetal acceleration. This acceleration acts along the radius of the curved path (thus is also referred to as radial acceleration).
Any acceleration must be produced by some force. Therefore, any force or combination of forces can cause centripetal acceleration. A few examples include the tension in the rope on a...
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Trigonometric Fourier series01:17

Trigonometric Fourier series

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Fourier series is a foundational mathematical technique that decomposes periodic functions into an infinite series of sinusoidal harmonics. This method enables the representation of complex periodic signals as sums of simple sine and cosine functions, facilitating their analysis and interpretation in various fields, including signal processing, acoustics, and electrical engineering.
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
712
Plane Electromagnetic Waves II01:29

Plane Electromagnetic Waves II

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Consider a plane wavefront traveling in position x-direction with a constant speed. This wavefront can be utilized to obtain the relationship between electric and magnetic fields with the help of Faraday's law.
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Non-uniform Circular Motion01:22

Non-uniform Circular Motion

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In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such...
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相关实验视频

Updated: Jan 8, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

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里叶混合圆形空气旋束束.

Bingsong Cao, Zhangrong Mei, Yonghua Mao

    Journal of the Optical Society of America. A, Optics, image science, and vision
    |December 18, 2025
    PubMed
    概括

    引入了一种新的富里埃混合循环空气波束 (FHCAVB),提供了增强的自动对焦对比度和可控性. 这种新型光束是圆形的Airy波束 (CAVB) 的高保真近似,对光学应用有很大的希望.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 波束物理学 波束物理学

    背景情况:

    • 圆形空气束 (CAVB) 以其独特的传播动力学而闻名.
    • 控制和有效生成这些光束对于先进的光学应用至关重要.

    研究的目的:

    • 合成一个里叶混合圆形空气旋流束 (FHCAVB) 作为高保真度近似的CAVB.
    • 调查FHCAVB的特性和生成方法.

    主要方法:

    • 通过将CAVB的相形状与高斯波幅分布相结合,在里埃域中合成了FHCAVB.
    • 在富里埃变换设置中,使用单相空间光调制器 (SLM) 实现了实验生成.

    主要成果:

    • FHCAVB成功地保留了CAVB的关键特性,包括可控性.
    • 在FHCAVB中观察到增强的自动对焦对比度.
    • 实验结果与理论模拟非常相匹配.

    结论:

    • 该FHCAVB作为一个高效和高保真近似的CAVB.
    • 这种方法有助于生成自动聚焦的空气 (AAF) 旋转束.
    • 在FHCAVB具有显著的应用潜力在光学陷, tweezing,和通信.

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