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Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals
We investigate the performance of a recently developed algorithm that evaluates the uncertainty of nonlinear multivariate microwave calibration models using regression residuals. We apply the algorithm to synthetic data consisting of both random and systematic errors and show that the algorithm can...
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| Publicado en: | IEEE Trans Microw Theory Tech |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8193716/ https://ncbi.nlm.nih.gov/pubmed/34121760 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/tmtt.2020.3005170 |
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