2022
DOI: 10.1109/mmm.2021.3117139
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scikit-rf: An Open Source Python Package for Microwave Network Creation, Analysis, and Calibration [Speaker’s Corner]

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Cited by 39 publications
(16 citation statements)
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“…The measurement was conducted in the frequency range from 1 GHz to 150 GHz with a power level of -10 dBm and an IF (intermediate frequency) bandwidth of 100 Hz. The data were processed offline in Python using the package scikit-rf [37]. The multiline TRL algorithm used is based on [38], and the uncertainty propagation through the calibration is based on the approach of [39], [40].…”
Section: B Results and Discussionmentioning
confidence: 99%
“…The measurement was conducted in the frequency range from 1 GHz to 150 GHz with a power level of -10 dBm and an IF (intermediate frequency) bandwidth of 100 Hz. The data were processed offline in Python using the package scikit-rf [37]. The multiline TRL algorithm used is based on [38], and the uncertainty propagation through the calibration is based on the approach of [39], [40].…”
Section: B Results and Discussionmentioning
confidence: 99%
“…DMT extends this class with several data-processing methods that are particularly useful for electrical quantities such as currents, voltages and charges. Some of these methods are based on routines in scikit-rf (Arsenovic et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…In both cases, the output power was set to 0 dBm. Afterwards, the data processing and analysis was carried out using scikit-rf, an open-source Python package [ 16 ].…”
Section: Methodsmentioning
confidence: 99%