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相关概念视频

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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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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相关实验视频

Updated: Jun 30, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

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Published on: April 11, 2025

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可见光通信的预等级方案,采用试错学习.

Shupeng Li, Yi Zou, Fangming Liu

    Optics letters
    |March 15, 2024
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了一个新的神经网络预等级器,使用试错学习来进行可见光通信. 这种方法可以提高信号质量和噪声弹性,而不需要额外的后等效器.

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    Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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    相关实验视频

    Last Updated: Jun 30, 2025

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

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    Published on: April 11, 2025

    332
    Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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    科学领域:

    • 光学通信是指光学通信.
    • 机器学习 机器学习
    • 信号处理 信号处理

    背景情况:

    • 可见光通信 (VLC) 系统面临信号扭曲和噪声的挑战.
    • 现有的预等值方法往往需要复杂的架构,如有辅助后等值器的间接学习 (IL).

    研究的目的:

    • 为VLC引入一种新的神经网络预等级器,使用试错 (TE) 机制.
    • 在发射器侧的训练过程中,消除了对辅助后等效器的需求.

    主要方法:

    • 一个基于TE的循环神经网络 (RNN) 预等分器被设计和实施.
    • 预等分器通过系统交互直接在发射器侧进行训练.
    • 性能在1.95Gbps的64QAM载波无振幅相 (CAP) 自由空间光传输平台上进行了评估.

    主要成果:

    • TE-RNN预等分器表现出卓越的非线性近似和抗噪能力.
    • 它实现了0.8dB的信号噪声比率 (SNR) 比IL-RNN和1.8dB比IL-Volterra预等值器的收益.
    • 这代表了TE学习在VLC中为预等级器培训的首次应用.

    结论:

    • 拟议的基于TE的神经网络预等级器为VLC系统提供了有效和简单的解决方案.
    • 直接的发射器侧训练可以提高系统的性能和稳定性.
    • 这种新的方法推动了光通信均等化领域的发展.