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Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
73.9K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.4K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.4K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

111
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

38.3K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

554
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
554

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相关实验视频

Updated: Jul 20, 2025

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

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在低精度数值表示下压缩高斯估计.

Jose Guivant1, Karan Narula2, Jonghyuk Kim3

  • 1School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的最小协方差通胀 (MCI) 方法,以提高高维问题,如同时定位和映射 (SLAM) 的高维估计的计算效率. 该方法减少了处理时间,精度损失最小.

关键词:
中央银行 (CEKF)压缩卡尔曼波器 压缩卡尔曼波器压缩估计的压缩估计.高维估量的高维估计.整数精度共差整数精度共差低精度数值格式的数字格式.

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Measurement of Spatial Stability in Precision Grip
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Measurement of Spatial Stability in Precision Grip

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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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相关实验视频

Last Updated: Jul 20, 2025

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

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Measurement of Spatial Stability in Precision Grip
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Measurement of Spatial Stability in Precision Grip

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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算数学 计算数学 计算数学
  • 控制理论 控制理论

背景情况:

  • 高维高斯估计对于同时定位和映射 (SLAM) 和随机局部微分方程 (SPDEs) 至关重要,面临着计算挑战.
  • 现有的通用压缩卡尔曼波器 (GCKF) 方法可以降低复杂性,但对于嵌入式系统来说仍然是计算密集型的.
  • 同变矩阵的标准双精度格式增加了计算负载.

研究的目的:

  • 为高维问题提出一个计算效率高的高斯估计方法.
  • 解决嵌入式处理器上通用压缩卡尔曼波器 (GCKF) 的计算成本限制.
  • 为了保持过器的稳定性和准确性,尽管使用低精度的数值表示.

主要方法:

  • 实现全球共变矩阵的低精度数值表示 (16位整数或32位单一精度).
  • 引入最小共变量膨胀 (MCI) 技术,以抵消由共变量矩阵截断引起的不稳定性.
  • 使用基于模拟的实验来评估拟议方法的性能.

主要成果:

  • 与现有方法相比,拟议的方法大大减少了处理时间.
  • 尽管使用低精度格式,但观察到最小的精度损失.
  • 最小协差膨胀 (MCI) 方法有效地确保了过器的一致性.

结论:

  • 新的最小协差膨胀 (MCI) 方法为高维系统中的高斯估计提供了一个计算效率高的解决方案.
  • 这种方法使得在资源有限的嵌入式处理器上实际实现高级过器.
  • 该方法平衡了计算节省与可接受的准确性,用于应用程序,如SLAM.