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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
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Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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Distance Corrections01:15

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Glassware Calibration01:11

Glassware Calibration

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Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
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Calibration Curves: Correlation Coefficient01:10

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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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Sampling Continuous Time Signal

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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Calibration Methods for Time-to-Digital Converters.

Wassim Khaddour1, Wilfried Uhring1, Foudil Dadouche1

  • 1ICube Research Institute, University of Strasbourg, CNRS, UMR 7357, 23 Rue du Loess, CEDEX, 67037 Strasbourg, France.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

This study compares time-to-digital converter (TDC) calibration methods. A novel robust method for asynchronous TDCs significantly improves differential non-linearity (DNL) by up to 100 times, outperforming existing techniques.

Keywords:
asynchronous TDCaverage-bin-width calibrationbin-by-bin calibrationcalibration techniquesdifferential non-linearity (DNL)integral non-linearity (INL)matrix calibrationsynchronous TDCtime-to-digital converter (TDC)

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Area of Science:

  • Digital Electronics
  • Signal Processing
  • Measurement Science

Background:

  • Time-to-Digital Converters (TDCs) are crucial for precise timing measurements.
  • Calibration is essential to mitigate non-linearity in TDCs.
  • Existing calibration methods for synchronous TDCs have limitations.

Purpose of the Study:

  • To present and compare common calibration methods for synchronous TDCs.
  • To propose and evaluate a novel robust calibration method for asynchronous TDCs.
  • To assess the performance improvement in Differential Non-Linearity (DNL) and Integral Non-Linearity (INL).

Main Methods:

  • Comparative analysis of bin-by-bin and average-bin-width calibration for synchronous TDCs.
  • Development and simulation of a new robust calibration technique for asynchronous TDCs.
  • Experimental validation using TDCs implemented on a Cyclone V SoC-FPGA.

Main Results:

  • For synchronous TDCs, average-bin-width calibration improves both DNL and INL, while bin-by-bin improves only INL.
  • For asynchronous TDCs, bin-by-bin calibration improves DNL up to 10 times.
  • The proposed method for asynchronous TDCs improves DNL up to 100 times and is robust to TDC non-linearity.

Conclusions:

  • The proposed calibration method offers a significant advancement for asynchronous TDCs.
  • Experimental results confirm the superior performance of the new method over bin-by-bin calibration for asynchronous TDCs.
  • This research provides a more accurate and reliable calibration solution for high-precision timing applications.