GCC-GAN: Graph-Context-Conditioned GAN for Heterogeneous Sensor Dynamic Compensation
To address the low efficiency of traditional one-to-one modeling for dynamic compensation in complex transient testing scenarios involving large numbers of heterogeneous sensors with different dynamic error mechanisms, this article proposes a heterogeneous sensor dynamic compensation method based on a graph-context-con...