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相关概念视频

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

29
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...
29
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

476
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
476
Fast Fourier Transform01:10

Fast Fourier Transform

281
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
281
Discrete Fourier Transform01:15

Discrete Fourier Transform

225
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
225
Distance Measurements by Taping01:18

Distance Measurements by Taping

30
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
30
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

278
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
278

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相关实验视频

Updated: Jun 11, 2025

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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DASCore:用于分布式光纤传感的Python库

Derrick Chambers1, Ge Jin2, Ahmad Tourei2

  • 1Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA.

Seismica
|October 1, 2024
PubMed
概括
此摘要是机器生成的。

一个新的Python库,DASCore,解决了分布式声学传感 (DAS) 数据的未成熟的开源软件生态系统. 它促进了DAS数据的分析,可视化和管理,支持更广泛的应用.

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科学领域:

  • 地质物理学 地质物理学
  • 数据科学数据科学数据科学
  • 软件工程 软件工程 软件工程

背景情况:

  • 在过去的十年中,分布式声学传感 (DAS) 在地震学和基础设施监测等各个领域得到了广泛采用.
  • 目前用于处理DAS数据的开源软件生态系统开发不足,阻碍了更广泛的可访问性和应用.
  • 需要强大的,用户友好的工具来处理和管理越来越多的DAS数据.

研究的目的:

  • 介绍DASCore,这是一个新的Python库,旨在对DAS数据进行全面分析,可视化和管理.
  • 提供一个基础包,简化常见的DAS数据处理任务和文件格式处理.
  • 促进开发一个更成熟的开源生态系统,用于DAS数据分析.

主要方法:

  • 开发DASCore,一个具有对DAS数据面向对象接口的Python库.
  • 实现数据处理,转换,文件I/O (各种DAS格式) 和可视化功能.
  • 与云计算工具集成,用于处理大规模的DAS数据集.

主要成果:

  • DASCore提供了一种简化的方法来分析,可视化和管理DAS数据.
  • 该库支持阅读和写入各种DAS文件类型,并包括基于文件系统的档案工具.
  • DASCore可以与现有的Python工具集成,在云环境中实现可扩展的数据处理.

结论:

  • DASCore显著提高了处理分布式声学传感数据的能力.
  • 作为DAS数据分析生态系统 (DASDAE) 的基础包,它旨在加速新DAS应用程序和库的开发.
  • 这项工作促进了DAS技术在科学和工业领域的更容易使用和更有效的利用.