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相关概念视频

Echo01:06

Echo

886
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
886
Interference: Path Lengths01:10

Interference: Path Lengths

1.9K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
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Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

899
As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
899
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

935
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
935

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相关实验视频

Updated: Jan 16, 2026

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
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基于深海多路径时间延迟的三维声源定位.

Zhen Zhang1,2,3, Haigang Zhang1,2,3, Jinshan Fu1,2,3

  • 1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.

JASA express letters
|October 3, 2025
PubMed
概括

本研究介绍了一种使用扩展卡尔曼波器 (EKF) 和时间延迟测量的3D运动跟踪方法. 该技术准确地估计了源位置的最小深度误差,通过模拟和实验验证.

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科学领域:

  • 声学 声学 在声学方面
  • 信号处理 信号处理
  • 地质物理学 地质物理学

背景情况:

  • 描述非辐射源运动需要复杂的建模.
  • 传统的方法可能缺乏准确的3D定位的精度.
  • 时间延迟测量为运动估计提供了可行的输入.

研究的目的:

  • 开发和验证一个三维 (3D) 模型,用于准确的源运动特征.
  • 使用扩展卡尔曼波器 (EKF) 用于使用时间延迟数据估计源位置.
  • 通过模拟和实验验证来评估方法的准确性.

主要方法:

  • 使用了一个三维 (3D) 模型,其中包含了一个扩展的卡尔曼波器 (EKF) 状态矩阵.
  • 使用直接和表面反射到达之间的时间延迟测量作为EKF输入.
  • 分析了距离元件的部分导数,并应用了代过来估计位置.

主要成果:

  • 实现了对源在3D空间中的位置的可靠估计.
  • 实验验证表明高精度,深度估计误差在1.5%以内.
  • 扩展的卡尔曼波器有效地处理了运动跟踪的时间延迟数据.

结论:

  • 拟议的基于卡尔曼波器的扩展3D模型准确地描述了非辐射源运动.
  • 该方法提供精确的来源定位与最小的错误,由实验结果证实.
  • 这种方法为实时3D源追踪应用提供了强大的解决方案.