Data underlying the PhD dissertation "Advanced Measurement Techniques for VNA Accuracy and Sensitivity Enhancement"
DOI:10.4121/6a523997-cd55-4700-b472-7d69783e4ef2.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/6a523997-cd55-4700-b472-7d69783e4ef2
DOI: 10.4121/6a523997-cd55-4700-b472-7d69783e4ef2
Datacite citation style
Mubarak, Faisal Ali (2024): Data underlying the PhD dissertation "Advanced Measurement Techniques for VNA Accuracy and Sensitivity Enhancement". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6a523997-cd55-4700-b472-7d69783e4ef2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Data underlying the PhD dissertation "Advanced Measurement Techniques for VNA Accuracy and Sensitivity Enhancement"
The data includes S-parameter measurement results acquired for calibration and uncertainty evaluation in connectorized and on-wafer systems. Furthermore, a collection of scripts (Matlab-based) is included for the evaluation and analysis of the measurement data.
History
- 2024-09-05 first online, published, posted
Publisher
4TU.ResearchDataOrganizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of MicroelectronicsDATA
Files (2)
- 628 bytesMD5:
7322a3b7dc2b4c8418b27029cbd2043b
Readme.txt - 3,413,515,009 bytesMD5:
2dda0199477ec66d3d11df45810ea816
PhD_data_20240825_FAMubarak.zip -
download all files (zip)
3,413,515,637 bytes unzipped