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相关概念视频

Echo01:06

Echo

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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,...
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Electronic Distance Measuring Instruments01:30

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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Uniform Depth Channel Flow: Problem Solving01:18

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
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深海的深度干扰,适用于水下源的定位.

Chengzhen He1,2, Lianghao Guo1,2, Weiyu Zhang1,2

  • 1State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

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概括
此摘要是机器生成的。

深海的窄带定位对于静止的声音源是有效的,特别是当宽带方法失败时. 这项研究分析了干扰模式,以提高使用垂直数组的定位精度.

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科学领域:

  • 海洋声学 海洋声学
  • 信号处理 信号处理
  • 水下声学 水下声学

背景情况:

  • 深海辐射噪声中的线谱提供比宽带组件更高的信号噪声比率.
  • 窄带本地化是宽带方法的关键补充,特别是当后者效率较低时.

研究的目的:

  • 分析关键干扰深度间隔的变化模式.
  • 开发和验证深海狭带静止声源的局部化方法.

主要方法:

  • 在深海直接抵达区域中利用了近底垂直阵列.
  • 根据接收器深度,源范围和源深度,分析了依赖深度的干扰结构.
  • 通过模拟和实验数据验证了拟议的本地化方法.

主要成果:

  • 在深海直接到达区域中确定了不同的依赖深度的干扰结构.
  • 描述了干扰深度间隔与关键环境和源参数的变化模式.
  • 证明了拟议的窄带本地化方法的有效性.

结论:

  • 拟议的局部化方法对于深海的窄带静止声源是有效的.
  • 了解干扰结构的变化是改善水下声学定位的关键.
  • 窄带技术在具有挑战性的深海环境中为声学定位提供了有价值的替代方案.