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Machine Learning for Radio Frequency Interference Flagging
The field of radio frequency interference (RFI) flagging involves the identification of corrupted data within radio astronomy measurements. This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulate...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2021
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