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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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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Uncertainty in Measurement: Accuracy and Precision

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.
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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
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High-speed Particle Image Velocimetry Near Surfaces
11:59

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Published on: June 24, 2013

Laser velocimeters: lower limits to uncertainty.

L Lading, R V Edwards

    Applied Optics
    |September 11, 2010
    PubMed
    Summary

    This study shows that laser velocimeter accuracy limits are not fundamental. Advanced signal processing techniques can significantly improve laser velocimetry performance.

    Area of Science:

    • Optical Measurement
    • Metrology
    • Signal Processing

    Background:

    • Laser velocimetry utilizes light scattering for non-contact velocity measurements.
    • Existing accuracy limits in many-particle and rough surface scattering are well-established.
    • Current methods may not fully exploit the potential of signal processing.

    Purpose of the Study:

    • To challenge the notion of fundamental accuracy limits in laser velocimetry.
    • To explore the role of advanced signal processing in enhancing performance.
    • To present general processing schemes and discuss their limitations.

    Main Methods:

    • Analysis of laser velocimeters employing many-particle scattering.
    • Analysis of laser velocimeters employing rough surface scattering.

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  • Development and presentation of linear and nonlinear signal processing schemes.
  • Main Results:

    • Demonstration that established accuracy limits are not fundamental.
    • Identification of signal processing as a key factor for performance enhancement.
    • Presentation of generic processing schemes applicable to various scattering conditions.

    Conclusions:

    • The performance of laser velocimeters can be improved beyond current perceived limits.
    • Advanced signal processing offers a pathway to higher accuracy in laser velocimetry.
    • Further research into specific processing algorithms and their limitations is warranted.