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相关概念视频

Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

582
The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
582
Types Of Transformers01:16

Types Of Transformers

976
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...
976
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

154
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
154
Generator Voltage Control01:21

Generator Voltage Control

155
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
155
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Inverting and Non-inverting OpAmps01:20

Inverting and Non-inverting OpAmps

755
In an inverting amplifier, the input voltage is connected through a resistor to the inverting terminal. Meanwhile, the non-inverting terminal is grounded and a feedback resistor is established between the inverting and output terminal, as depicted in Figure 1.
755

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相关实验视频

Updated: Jul 4, 2025

MRM Microcoil Performance Calibration and Usage Demonstrated on Medicago truncatula Roots at 22 T
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对于可逆MR线圈压缩的可变增强网络.

Xianghao Liao1, Bin Huang2, Shanshan Wang3

  • 1Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China.

Magnetic resonance imaging
|February 7, 2024
PubMed
概括

一种新的深度学习方法,即可逆线圈压缩的可变增强网络 (VAN-ICC),可以实现高效和可逆的MR图像压缩. 与传统方法相比,这种技术提供了优越的压缩效果,增强了医学成像应用.

关键词:
辅助变量 辅助变量是指辅助变量.卷轴的压缩方式一个可逆的网络.在K空间中.并行成像并行成像

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相关实验视频

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科学领域:

  • 医疗成像医学成像
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 数据压缩数据压缩

背景情况:

  • 多线圈磁共振 (MR) 成像产生大型数据集,需要高效的压缩技术.
  • 目前的线圈压缩方法往往缺乏可逆性,限制了它们在数据完整性至关重要的医疗场景中的应用.

研究的目的:

  • 开发一种高效和可逆的基于深度学习的方法,用于多线圈MR数据压缩.
  • 通过可逆恢复,提高MR图像压缩在医学诊断中的适用性.

主要方法:

  • 介绍了可逆线圈压缩的可变增强网络 (VAN-ICC),这是一个深度学习算法.
  • 使用规范化基于流量的模型来实现固有的可逆性,并将变量增强应用到图像/k空间变量.
  • 训练一个可逆和 bijective 函数,用于在原始和压缩形式之间映射数据.

主要成果:

  • 在完全采样和不足采样的MR数据上,VAN-ICC证明了有效和灵活的压缩.
  • 定量和定性比较显示,VAN-ICC比传统的非深度学习方法实现了明显更高的压缩效果.
  • 该方法通过可变增强技术成功实现了可逆网络.

结论:

  • 与传统的线圈压缩算法相比,VAN-ICC提供了竞争优势,提供了高压缩效率与可逆性.
  • 拟议的深度学习方法提高了在医学成像中应用先进压缩技术的潜力.