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Software . 2024
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Software . 2024
License: http://opensource.org/licenses/MIT
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License: https://opensource.org/licenses/MIT
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License: https://opensource.org/licenses/MIT
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ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Propagation of Systematic Sensor Errors into the Frequency Domain - A MATLAB Software Framework

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 Jan 2024 English Publisher:ZenodoFunded by:DFG | unidentified
Authors: Rexer, Manuel; Neumeier, Sebastian; Kuhr, Maximilian M. G.;

doi: 10.5281/zenodo.10532137 , 10.5281/zenodo.11234643 , 10.5281/zenodo.10532138

Propagation of Systematic Sensor Errors into the Frequency Domain - A MATLAB Software Framework

Abstract

This is the software mentioned in the "Propagation of Systematic Sensor Errors into the Frequency Domain - A MATLAB Software Framework" presentation at IMAC XLII Conference and the underlying investigations (see https://dx.doi.org/10.2139/ssrn.4452038 ) provides a small matlab package with one main function with which you are able to calculate the uncertainty in the frequency domain (calculated with a FFT) by the given arguments of one harmonic oscillation input signal with at least one complete cycle in the format of a one dimensional array y(t) and the systematic uncertainty, which can be obtained from the data sheet or the calibration protocol of the sensor. The software repository is available at gitlab: https://git.rwth-aachen.de/fst-tuda/public/frequency-domain-errors-from-systematic-sensor-errors-package-matlab/-/releases/ 

Version 0.2.0 includes Updated propagation laws Uncertatinty calculation due to deat time issues Calculation of Uncertainty of real and imaginary part

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Matlab

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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