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相关概念视频

Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

368
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...
368
The Ideal Transformer01:26

The Ideal Transformer

322
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...
322
Three-Winding Transformers01:19

Three-Winding Transformers

177
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
177
Types Of Transformers01:16

Types Of Transformers

934
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...
934
Energy Losses in Transformers01:21

Energy Losses in Transformers

810
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...
810
Transformers01:26

Transformers

1.0K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.0K

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Lensless Fluorescent Microscopy on a Chip
11:23

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双升级灵感变压器用于压缩传感.

Rui Lin1, Yue Shen1, Yu Chen1

  • 1SCS Laboratory, Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwa-no-ha, Kashiwa City 277-8563, Chiba, Japan.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

本研究介绍了双升级启发变压器 (DAT),这是用于图像压缩传感 (CS) 的灵活深度学习模型. 在各种压缩比下,DAT实现了高质量的重建,并大大减少了训练时间和成本.

科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 图像压缩传感 (CS) 的深度学习模型通常需要针对特定压缩比进行预训练,从而限制了它们的灵活性.
  • 传统的代算法提供灵活性,但往往缺乏深度学习方法的效率.

研究的目的:

  • 为图像CS开发一种新的深度学习架构,在各种压缩比下保持稳定的性能,培训成本最小.
  • 为了利用双升方法 (DAM) 的数学特性,在CS模型中加速培训趋同.

主要方法:

  • 提出了双升式启发式变压器 (DAT),这是一个采用双升式方法原则的新型架构.
  • 在代层中引入了一个不对称的原始-双元空间,用于特定维度的操作,平衡重建质量和效率.
  • 通过参数共享优化了交叉注意模块,以减少训练复杂性.

主要成果:

  • 在早期训练 (≤10个时代) 中,DAT在多个压缩比 (10%,30%,50%) 中表现出卓越的性能.
  • 在一个时代内实现了与ISTA-Net+可比的峰值信号噪声比率 (PSNR),比竞争方式快得多.
  • 在培训期间,表现出对初始学习率变化的强化稳定性.

结论:

关键词:
压缩感应传感器 压缩感应深度展开的网络网络.这是一次双重登山.图像重建 图像重建变压器变压器变压器变压器

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  • DAT架构为图像压缩传感提供了灵活和高效的解决方案,克服了固定比率预训练模型的局限性.
  • DAT的双起式设计加速了融合,并在不同的压缩场景中提高了性能稳定性.
  • 该模型为开发可适应和计算效率高的基于深度学习的CS系统提供了有希望的方向.