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相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.4K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.4K
The Ideal Transformer01:26

The Ideal Transformer

1.4K
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's tangential...
1.4K
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

1.4K
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
1.4K
Transformers in Distribution System01:27

Transformers in Distribution System

491
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
491
Design Example01:23

Design Example

526
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
526
Energy Losses in Transformers01:21

Energy Losses in Transformers

1.3K
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
1.3K

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相关实验视频

Updated: Jan 13, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.3K

基于变压器的高频通信解调.

Can Lu1,2, Feng Wang3,4, Rui Zhu1

  • 1School of Electronic Information, Xijing University, 710123, Xi'an, China.

Scientific reports
|January 9, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了对短波频道的深度学习解调算法,在低信号噪声比 (SNR) 环境中显著提高了性能. 基于变压器的方法优于传统技术和其他深度学习模型,提高了通信可靠性.

关键词:
调节方式的拆解.短波频道是一个短波频道.变压器变压器变压器

更多相关视频

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
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Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

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相关实验视频

Last Updated: Jan 13, 2026

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

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Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 信号处理 信号处理

背景情况:

  • 短波频道面临的重大损害,如多路径和色在低信号噪声比 (SNR) 的环境中,增加比特误差率 (BER).
  • 传统的解调技术,如最小平方 (LS) 和最小平均平方误差 (MMSE),在这些条件下难以满足通信要求.

研究的目的:

  • 为短波频道提出一种基于深度学习的新型解调算法,以克服传统方法的局限性.
  • 在具有挑战性的低SNR环境中提高调节精度和通信质量.

主要方法:

  • 采用基于变压器的网络的多道深度学习方法,将真实和虚拟的信号部分作为单独的输入.
  • 集成一个卷积神经网络 (CNN) 模块,在网络架构内有效地提取本地特征.

主要成果:

  • 拟议的深度学习算法在 -10 dB 到 10 dB SNR 范围内显著优于传统的 LS 和 MMSE 方法在调节性能方面.
  • 基于变压器的网络与包括CNN,GRU和CNN-RNN模型在内的基准方法相比,实现了1-5dB的一致SNR收益.
  • 在低SNR,高频频道条件下,基于变压器的调节接收器的表现优越.

结论:

  • 开发的基于变压器的深度学习解调算法为短波通信系统提供了重大进步.
  • 这些发现突出了通过先进的深度学习技术提高短波通信的可靠性和稳定性的潜力.
  • 这项研究为未来开发在不利通道条件下运行的强大的通信系统提供了宝贵的见解.