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相关概念视频

Maximum Power Transfer01:16

Maximum Power Transfer

251
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
251
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

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Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
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Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

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Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
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IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
966
RC Circuit without Source01:16

RC Circuit without Source

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When a DC source is abruptly disconnected from an RC (Resistor-Capacitor) circuit, the circuit becomes source-free. Assuming that the capacitor was fully charged before the source was removed, its initial voltage, denoted as V0, can be considered as the initial energy that stimulates the circuit.
Applying Kirchhoff's current law at the top node of the circuit and substituting the current values across the components, a first-order differential equation is obtained. By rearranging the terms...
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Electromagnetic Waves01:30

Electromagnetic Waves

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James Clerk Maxwell formulated a single theory combining all the electric and magnetic effects scientists knew during that time, calling the phenomena his theory predicted “Electromagnetic waves”. He brought together all the work that had been done by brilliant physicists such as Oersted, Coulomb, Gauss, and Faraday and added his own insights to develop the overarching theory of electromagnetism. Maxwell’s equations, combined with the Lorentz force law, encompass all the laws...
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相关实验视频

Updated: Jun 22, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

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无线图像传输的通道盲联合源通道编码.

Hongjie Yuan1, Weizhang Xu1, Yuhuan Wang1

  • 1State Key Laboratory of Media Convergence & Communication, Communication University of China, Beijing 100024, China.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
概括

本研究介绍了通道盲联合源通道编码 (CBJSCC),这是一种深度学习方法,可以适应改变无线通道而不需要信号噪声比 (SNR) 信息. 与传统的自适应方法相比,CBJSCC在图像传输方面表现出卓越的性能.

科学领域:

  • 通信系统中的深度学习应用.
  • 为无线传输提供先进的信号处理.

背景情况:

  • 基于深度学习的联合源道编码 (JSCC) 在图像传输方面表现出色.
  • 现有的通道适应式JSCC方法依赖于当前的信号噪声比 (SNR) 估计,这可能容易出现错误,并限制了适应性.

研究的目的:

  • 在动态道中研究深度学习JSCC模型的自我适应能力.
  • 引入一种新的通道盲 JSCC (CBJSCC) 方法,不需要外部 SNR 信息.

主要方法:

  • 开发了一个通道盲 JSCC (CBJSCC) 模型,利用神经网络的内在学习.
  • 在CBJSCC模型中采用了专门设计的编码器解码器架构.
  • 在添加式白色高斯噪声 (AWGN) 和雷利淡化通道中评估性能.

主要成果:

  • 在没有SNR反的情况下,CBJSCC自适应动态频道和变化的SNR.
  • 拟议的方法优于现有的SNR依赖的通道适应JSCC技术.
  • 在各种应用场景和道条件中证明了强度和适应性.

结论:

  • 在动态无线环境中,CBJSCC为图像传输提供了强大的,适应性的解决方案.
关键词:
注意力机制注意力机制广播广播广播广播广播广播广播广播共同的来源通道编码.无线图像传输无线图像传输

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  • 消除对SNR估计的依赖,提高了可靠性,并简化了实施.
  • 该方法适用于一对多的无线通信系统.