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相关概念视频

Multiple Voltage Sources01:25

Multiple Voltage Sources

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Generally, a single battery is not enough to power some devices. In such cases, batteries can be combined in two ways: in series or in parallel.
In series, the positive terminal of one battery is connected to the negative terminal of another battery. Hence, the voltage of each battery is added to give the net voltage, which is increased because each battery boosts the electrons that enter it. The same current flows through each battery because they are connected in series.
Batteries are...
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Soundness of Cement01:17

Soundness of Cement

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The soundness of cement refers to the ability of cement paste to retain its volume after setting. Unsound cement can lead to expansion and structural damage due to the presence of free lime, magnesia, and calcium sulfate. Free lime hydrates very slowly, expanding and causing unsoundness, which is difficult to detect because it intercrystallizes with other compounds. Magnesia also reacts with water, forming crystals that can disrupt the cement's structure. Calcium sulfate can create...
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Heart Sounds01:15

Heart Sounds

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Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
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Korotkoff Sounds01:12

Korotkoff Sounds

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Korotkoff sounds are the specific sounds heard while measuring blood pressure using a sphygmomanometer, typically with a stethoscope or a Doppler device. They are named after Russian physician Nikolai Korotkov, who first described them in 1905. These sounds correspond to turbulent blood flow in the artery as the blood pressure cuff is gradually released after inflation.
During blood pressure assessment, inflating the cuff 30 millimeters of mercury above the patient's systolic blood pressure...
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Sound Waves01:01

Sound Waves

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Sound waves can be thought of as fluctuations in the pressure of a medium through which they propagate. Since the pressure also makes the medium's particles vibrate along its direction of motion, the waves can be modeled as the displacement of the medium's particles from their mean position.
Sound waves are longitudinal in most fluids because fluids cannot sustain any lateral pressure. In solids, however, shear forces help in propagating the disturbance in the lateral direction as well....
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Sound Intensity00:58

Sound Intensity

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The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
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相关实验视频

Updated: Jan 28, 2026

Preparing a Celadonite Electron Source and Estimating Its Brightness
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Preparing a Celadonite Electron Source and Estimating Its Brightness

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基于稀疏度的不均声场估计,使用多个源区域内核.

Ryo Matsuda1, Makoto Otani1

  • 1Department of Architecture and Architectural Engineering, Graduate School of Engineering, Kyoto University, Kyoto-daigaku-katsura, Nishikyo-ku, Kyoto 615-8540, Japan.

The Journal of the Acoustical Society of America
|January 27, 2026
PubMed
概括

这项研究引入了一种新的稀疏方法,用于使用麦克风阵列估计复杂的声音场. 该方法通过建模空间相关性和优化源区域参数来提高准确性.

科学领域:

  • 声学 声学 在声学方面
  • 信号处理 信号处理
  • 计算物理 计算物理

背景情况:

  • 从麦克风阵列数据中估计不均的声音场对于声源定位和声音场分析等应用至关重要.
  • 传统方法通常依赖于简化假设,例如点源近似,这可能会限制复杂声学环境中的准确性.

研究的目的:

  • 利用麦克风阵列信号开发一种更准确的方法来估计不均的声音场.
  • 为了利用声音源分布的稀疏性来改进估计.
  • 提出基于核心的灵活方法,可以适应各种源区域特征.

主要方法:

  • 一个核心函数被定义为一个加权的子核的总和,每个子核在定义的球形源区域内具有空间相关性的特征.
  • 使用基于梯度的算法来代地更新内核权重,利用源分布的固有稀疏性.
  • 引入了一个新的方案来更新核心参数 (源区域的半径和中心) 使用衍生分析梯度表达式.

主要成果:

  • 理论分析确定了拟议方法与传统稀疏点源分解技术之间的联系.
  • 数字模拟证实,与现有的传统方法相比,拟议的方法实现了更高的估计准确性.
  • 该方法通过调整其内核表示方式,有效地处理不均的声音场的复杂性.

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Topographical Estimation of Visual Population Receptive Fields by fMRI
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Last Updated: Jan 28, 2026

Preparing a Celadonite Electron Source and Estimating Its Brightness
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A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes
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A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes

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Topographical Estimation of Visual Population Receptive Fields by fMRI
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Topographical Estimation of Visual Population Receptive Fields by fMRI

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结论:

  • 拟议的稀疏,基于内核的方法在从麦克风阵列数据中估计不均的声音场方面取得了重大进展.
  • 在定义和更新内核参数的灵活性允许在各种声学场景中实现强大的性能.
  • 这种方法提供了比传统方法更准确和更适应的替代方案,特别是在复杂的源分布的情况下.