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相关概念视频

Echo01:06

Echo

514
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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Anatomy of the Ear01:16

Anatomy of the Ear

8.4K
Auditory sensation, commonly called hearing, involves the transformation of sonic waves into neural impulses facilitated by the structures of the auditory organ. The prominent, flesh-like structure on the side of the head, called the auricle, directs sound waves towards the auditory canal. The auricle is often mislabeled as the pinna, a term more aligned with mobile structures like a feline's external ear. The auditory canal penetrates the cranium via the external auditory meatus of the...
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相关实验视频

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Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
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使用方向受约束的声学参数进行水下声场可视化.

Vasileios Bountourakis1, Ville Pulkki1

  • 1Department of Information and Communications Engineering, Aalto University, Espoo, 02150, Finland.

The Journal of the Acoustical Society of America
|November 17, 2023
PubMed
概括

这项研究引入了一种新的水下声场可视化方法,用于使用圆形水力电话阵列的被动声纳. 该技术增强了噪声抑制和到达方向的精度,提高了声纳的性能.

科学领域:

  • 声学 声学 在声学方面
  • 信号处理 信号处理
  • 海洋工程 海洋工程

背景情况:

  • 被动声纳系统依赖于水电话阵列来检测和定位水下声源.
  • 准确的声场可视化对于识别目标和了解声环境至关重要.
  • 现有的方法在噪声抑制和角度分辨率方面面临挑战,特别是在复杂的场景中.

研究的目的:

  • 开发和评估一种改进的水下声场可视化方法,用于被动声纳应用.
  • 为了提高圆形水声机阵列的性能,在噪声抑制,角分辨率和到达方向估计方面.
  • 评估该方法在干扰者存在时的有效性及其作为信心衡量的潜力.

主要方法:

  • 一种新的方法使用光束成型将空间分成角度部门.
  • 声学参数在每个部门内计算,并合并以创建空间光谱.
  • 该技术采用方向受限的参数和基于部门的参数扩散.
  • 评估是基于来自圆形液电话阵列的模拟数据进行的.

主要成果:

  • 与基线方法相比,拟议的方法表明背景噪声抑制和角度分辨率得到了改进.
  • 它在中等到高的信号与噪声比率下实现了更高的到达方向估计精度.

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  • 该方法显示出对干扰物的优越性能,即使在信号与干扰的低比率下,具有适当的部门模式.
  • 基于部门的参数扩散性作为有效的权重函数和信心指标.

    • 结论:

    • 开发的水下声场可视化方法为被动声纳应用提供了显著的性能改进.
    • 它为噪声抑制,目标定位和环境声学分析提供了增强的能力.
    • 该方法的适应性和可信度测量潜力使其成为声纳技术的宝贵进步.