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

Soundness of Cement01:17

Soundness of Cement

543
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...
543
Heart Sounds01:15

Heart Sounds

3.3K
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)...
3.3K
Korotkoff Sounds01:12

Korotkoff Sounds

7.7K
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...
7.7K
Sound Waves01:01

Sound Waves

12.5K
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....
12.5K
Sound Intensity00:58

Sound Intensity

4.7K
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...
4.7K
Speed of Sound in Gases01:08

Speed of Sound in Gases

4.0K
The speed of sound in a gaseous medium depends on various factors. Since gases constitute molecules that are free to move, they are highly compressible. Hence, sound waves travel slowly through gases. Thermodynamics helps us understand the relationship between pressure, volume, and temperature of gases, thus, the speed of sound in an ideal gas can be determined using the laws of thermodynamics. At the same time, Newton's laws of motion and the continuity equation of fluid dynamics also come...
4.0K

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

Multimodal-based shape optimization of rectangular horns for improved radiation efficiency and directivity control.

The Journal of the Acoustical Society of America·2025
Same author

From waste to value: Multi-omics reveal pomegranate peel addition improves corn silage antioxidant activity and reduces methane and nitrogen losses.

Bioresource technology·2025
Same author

Sparse loudspeaker array design for wideband frequency-invariant beamforming with multiple targets.

The Journal of the Acoustical Society of America·2025
Same author

Theoretical modeling and parameter identification of balanced armature loudspeakers.

The Journal of the Acoustical Society of America·2024
Same author

Complete genome sequence analysis of Reticuloendotheliosis virus integrated in nonhomologous Avipoxvirus.

Microbial pathogenesis·2024
Same author

Isolation and identification of a pigeonpox virus strain and study on the integration of reticuloendotheliosis virus sequence.

Virus genes·2024

相关实验视频

Updated: Jan 22, 2026

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
06:26

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

Published on: September 27, 2024

929

适应性采样用于在声场重建中优化传感器放置.

Yiming Han1, Fanqin Hong1, Dongcai Wang1

  • 1Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.

The Journal of the Acoustical Society of America
|January 21, 2026
PubMed
概括
此摘要是机器生成的。

适应采样 (AS) 改进了用于声场重建的传感器放置. 这种新方法对非静止场更有效,使用的传感器比传统的非自适应技术更少.

更多相关视频

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.4K
Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.6K

相关实验视频

Last Updated: Jan 22, 2026

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
06:26

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

Published on: September 27, 2024

929
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.4K
Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.6K

科学领域:

  • 声学和信号处理
  • 计算物理 计算物理
  • 机器学习 机器学习

背景情况:

  • 声场重建旨在从离散测量中创建一个连续的声学地图.
  • 传统的传感器放置方法往往不适应,适合静态声场,但对动态声场无效.

研究的目的:

  • 开发和评估一种适应性采样 (AS) 策略,用于在声场重建中高效地放置传感器.
  • 提高传感器效率,特别是对于非静止的声学环境.

主要方法:

  • 在贝叶斯/高斯过程框架内分析非适应性抽样标准.
  • 建议采用适应性采样 (AS) 策略,将利用的交叉验证和探测的基于波长的间隔结合起来.
  • 基于模拟的AS与非适应性方法在静止和非静止声场上的比较.

主要成果:

  • 适应性采样 (AS) 与静态场上的非适应性方法相匹配.
  • 在非静止场上,AS表现出显著提高的效率,使用大约一半的传感器来达到同等的准确性.
  • 关联系统战略有效地平衡了有针对性的数据采集 (利用) 与广泛的空间覆盖 (探索).

结论:

  • 适应性采样 (AS) 在声场重建的传感器放置效率上提供了显著的改进,特别是在动态场景中.
  • AS为声学中的顺序测量工作流提供了实用和高效的解决方案.
  • 这些发现表明,在复杂的声学环境中,需要转向适应性策略,以实现最佳的传感器网络设计.