6 datasets found
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Federal
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
National Institute of Standards and Technology —
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine... -
Federal
Recommended Practices for Calibrated Millimeter-Wave Modulated-Signal Measurements
National Institute of Standards and Technology —
In this paper, we have demonstrated the importance of choosing the correct reference plane for applications such as over-the-air (OTA) modulated-signal measurements... -
Federal
Development of a Tool to Determine the Variability of Consensus Mass Spectra Supporting Data
National Institute of Standards and Technology —
Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an... -
Federal
Interlab: A python module for consensus analysis in interlaboratory studies
National Institute of Standards and Technology —
A python module for consensus analysis in interlaboratory studies -
Federal
Dynamic Range by Design in OTA EVM measurements
National Institute of Standards and Technology —
We present an experimental approach to design an over-the-air (OTA) millimeter-wave system for measuring error vector magnitude (EVM) with associated uncertainties... -
Federal
Reference Measurements of Error Vector Magnitude
National Institute of Standards and Technology —
The experiment here was to demonstrate that we can reliably measure the Reference Waveforms designed in the IEEE P1765 proposed standard and calculate EVM along with...
6 datasets found