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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

214
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...
214
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

58
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
58
Echo01:06

Echo

511
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,...
511
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

46
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
46
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

37
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 short...
37
Perception of Sound Waves01:01

Perception of Sound Waves

4.5K
The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
4.5K

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Updated: Jul 5, 2025

A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.5K

关于声源定位和检测方法及其应用的调查.

Gabriel Jekateryńczuk1, Zbigniew Piotrowski1

  • 1Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括

本调查对声源本地化和检测方法进行了分类,分析了传统和人工智能驱动的技术. 它强调了军事和民用领域的应用,指导了声学检测的未来研究.

科学领域:

  • 声学 声学 在声学方面
  • 信号处理 信号处理
  • 人工智能的人工智能

背景情况:

  • 在各种科学和工程领域,声音源定位和检测至关重要.
  • 现有方法的差异很大,需要有结构的概述才能有效地应用.

研究的目的:

  • 提供音源定位和检测方法的全面分类.
  • 分析传统和现代 (基于AI) 的方法.
  • 为了指导选择适合特定应用的合适方法.

主要方法:

  • 现有声音源定位系统的文献审查和分类.
  • 基于传播模型的方法分析.
  • 评估用于声学检测的机器学习和深度学习技术.

主要成果:

  • 基于既定标准的声音源本地化方法的详细分类.
  • 基于模型的传播与基于人工智能的技术的比较分析.
  • 确定物理现象,数学关系和人工智能在本地化中的作用.

结论:

  • 声源本地化方法包括各种物理,数学和人工智能驱动的方法.
关键词:
声学 声学 声学 声学人工智能的人工智能是人工智能.麦克风阵列中的麦克风阵列.声音源的本地化 声音源的本地化

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  • 这些技术对于军事和民用应用都至关重要.
  • 未来的趋势指向在声学检测和定位方面先进的AI集成.