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CorteXforge: Scenario-Based RF Dataset Generation on Real Testbeds

arXiv:2610.26999v1 Announce Type: new Abstract: Deep learning for radio frequency (RF) signal analysis relies on large annotated datasets, yet synthetic datasets trade physical realism for controllability, while uncontrolled over-theair measurements offer realism but limited reproducibility. We pre…

Read the full story at arXiv cs.LG ↗

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  1. 2026-10-21 04:00 · arXiv cs.LG
    CorteXforge: Scenario-Based RF Dataset Generation on Real Testbeds

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