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相关概念视频

Weighted Mean00:57

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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相关实验视频

Updated: Mar 15, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

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基于级联DOA-TDOA的多源加权定位.

Jinshen Fang1, Jianfeng Li1, Shenghui Zhao1

  • 1College of Electronic and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的级联到达方向 (DOA) 和到达时间差异 (TDOA) 定位算法,以准确确定多个信号源. 该方法增强了多源分离,并通过代权重改进了定位,提高了准确性和稳定性.

关键词:
在 DOAA 完成.这就是TDOA.梁成型 梁成型 梁成型多源本地化多源本地化

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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

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相关实验视频

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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

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科学领域:

  • 信号处理 信号处理
  • 在本地化算法算法.
  • 阵列信号处理 阵列信号处理

背景情况:

  • 时间差距到达 (TDOA) 定位提供了稳定性和准确性.
  • 多源场景通过纠测量来使TDOA复杂化.
  • 准确的来源分离和关联对于可靠的本地化至关重要.

研究的目的:

  • 提出一个级联的DOA-TDOA算法,以实现强大的多源本地化.
  • 为了利用DOA进行信号分离和TDOA进行精确定位.
  • 在复杂的环境中增强本地化准确性和稳定性.

主要方法:

  • 对于初始粗位置的DOA估计和几何一致性匹配.
  • 最小变异无扭曲响应 (MVDR) 空间过用于信号分离和SNR增强.
  • 使用差异几何稀释精度 (D-GDOP) 进行代加权最小平方 (WLS) 定位以进行精细化.

主要成果:

  • 拟议的算法有效地分离多源信号.
  • 基于D-GDOP的代权重显著提高了定位的准确性.
  • 与现有方法相比,模拟显示出更高的性能.

结论:

  • 级联DOA-TDOA方法为多源本地化提供了一个强大的解决方案.
  • MVDR过和代的WLS改进提高了估计精度.
  • 该方法在具有挑战性的多源环境中提供了更高的准确性和稳定性.