Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.1K
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...
1.1K
Transformers01:26

Transformers

1.2K
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...
1.2K
The Ideal Transformer01:26

The Ideal Transformer

895
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...
895
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

205
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...
205
Energy Losses in Transformers01:21

Energy Losses in Transformers

977
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...
977

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Large Language Models Reveal the Neural Tracking of Linguistic Context in Attended and Unattended Multi-Talker Speech.

bioRxiv : the preprint server for biology·2026
Same author

Large language models reveal the neural tracking of linguistic context in attended and unattended multi-talker speech.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

EEG-based decoding of auditory attention to conversations with turn-taking speakers.

Hearing research·2026
Same author

Behavioral constructs and neural correlates of descriptive and responsive speech in post-stroke aphasia.

Cortex; a journal devoted to the study of the nervous system and behavior·2025
Same author

ALICE: Improved Speech in Noise Understanding with Self-guided Hearing Care.

Trends in hearing·2025
Same author

Effects of speaker and listener sex on auditory attention decoding performance.

Hearing research·2025
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Sep 12, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.6K

使用变压器进行对比表示学习,以实现可靠的听觉EEG解码.

Lies Bollens1,2, Bernd Accou3,4, Hugo Van Hamme2

  • 1Dept. Neurosciences, ExpORL, KU Leuven, Leuven, Belgium.

Scientific reports
|August 6, 2025
PubMed
概括
此摘要是机器生成的。

对比式学习增强了电脑电图 (EEG) 解码语音,改善了听觉处理洞察力和听觉诊断. 这种自我监督的技术在分类听觉刺激和解码语音包裹方面取得了最先进的结果.

更多相关视频

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K
Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
11:39

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

2.2K

相关实验视频

Last Updated: Sep 12, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.6K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K
Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
11:39

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

2.2K

科学领域:

  • 神经科学是一个神经科学.
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 从脑电图 (EEG) 解码连续语音对于理解听觉处理和开发听觉诊断至关重要.
  • 深度学习已经推进了EEG解码,但低信号噪声比仍然是一个挑战.

研究的目的:

  • 探索对比式学习,用于强大的EEG信号的潜在表示.
  • 引入一种新型模型,将对比学习和变压器网络结合起来,用于听觉EEG解码.
  • 评估听觉刺激分类和信封解码任务的模型.

主要方法:

  • 利用对比学习,一种自我监督的技术,来学习EEG信号表示.
  • 开发了一个新的架构,将对比学习与变压器网络集成在一起.
  • 评估了ICASSP 2023审计EEG解码挑战任务上的模型:匹配-不匹配分类和刺激信封解码.

主要成果:

  • 在听觉EEG解码任务中实现了最先进的性能.
  • 在匹配-不匹配分类中达到87%的准确性,在信封回归中达到0.176的皮尔森相关性.
  • 在挑战中表现优于以前的领先型号.

结论:

  • 对比式学习显示了提高听觉EEG解码的巨大潜力.
  • 这些发现强调了拟议模型在捕捉听觉刺激和EEG反应之间的关系方面的有效性.
  • 该研究提供了对影响模型通用性和临床应用准确性的因素的见解.