CorteXforge: scenario-based RF dataset generation on real testbeds
Read the original at arxiv.org→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...
Original headline: "CorteXforge: Scenario-Based RF Dataset Generation on Real Testbeds"
Coverage timeline
- Oct 21, 04:00 UTC arXiv cs.LG lead source CorteXforge: Scenario-Based RF Dataset Generation on Real Testbeds