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相关概念视频

Vision01:24

Vision

53.5K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

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In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
288
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

8.2K
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...
8.2K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.8K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
4.8K
Convolution Properties II01:17

Convolution Properties II

230
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
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基于圆形光阵列编码/解码的彩色图像信息传输.

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    此摘要是机器生成的。

    这项研究引入了一种新的光学数据编码和解码方法,使用复合圆光学 (EOV) 阵列. 这种技术可以为先进的光通信系统提供高效,高维的数据传输.

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    相关实验视频

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 信息技术 信息技术 信息技术
    • 计算机科学 计算机科学

    背景情况:

    • 高维数据编码和解码对于现代通信系统至关重要.
    • 现有的光通信方法在传输效率和容量方面存在局限性.
    • 圆形光学 (EOV) 阵列为先进的光学数据操纵提供了潜力.

    研究的目的:

    • 提出并演示使用复合EOV数组的多通道高维数据编码/解码方案.
    • 通过将多个通道编码到单个全息图上来提高光学数据传输效率.
    • 通过实验性传输彩色图像来验证该方案的可行性.

    主要方法:

    • 使用4x4复合EOV阵列基于旋转角度进行高维数据编码.
    • 采用联合对称扩展里埃计算机生成全息图,用于在RGB频道中可控重建焦点.
    • 实现了基于深度学习的卷积神经网络,用于解码接收器上的强度模式.

    主要成果:

    • 通过使用拟议方案成功编码和传输了128x128像素的彩色图像.
    • 通过单个全息图显示RGB彩色图像数据的同时传输.
    • 证实了基于EOV的编码/解码方法的可行性和有效性.

    结论:

    • 拟议的基于复合EOV阵列的方案为多通道高维光学数据传输提供了一种高效的方法.
    • 基于深度学习的解码提供了一个强大的方法来检索传输的信息.
    • 这项技术对未来的高容量光通信应用具有重大潜力.